Database (step 0)

Date created: 17:19:10 21 Oct 2022.

Install commands that are unavailable or out of date.

. *<< dd_do : noout > >
. clear all

. *https://onlinelibrary.wiley.com/doi/epdf/10.1002/sim.8894
. *https://pclambert.net/pdf/Stata_Nordic2019_Lambert.pdf
. *https://slidetodoc.com/automated-reports-using-stata-chuck-huber-ph-d/
. *~Mi unidad\Alvacast\SISTRAT 2019 (github)\_supp_mstates\stata\12874_2020_1192_MOESM1_ESM.docx
. *https://opr.princeton.edu/workshops/Downloads/2015May_StataGraphicsKoffman.pdf
. *http://www.bruunisejs.dk/StataHacks/My%20commands/matprint/matprint_demo/
. *https://pure.au.dk/portal/files/140882936/ScientificWorkInStataGoneEasy.pdf
. *https://www.stata.com/meeting/nordic-and-baltic18/slides/nordic-and-baltic18_Bruun.pdf
. *https://github.com/dvorakt/TIER_exercises/blob/master/dyndoc_debt_growth/debt%20and%20growth%20stata%20dyndoc.do
. 
. cap noi which predictms
C:\Users\CISS Fondecyt\ado\plus\p\predictms.ado
*! version 4.4.0 22dec2021 MJC

. if _rc==111 {
.         cap noi ssc install multistate
.         }

. cap noi which merlin
C:\Users\CISS Fondecyt\ado\plus\m\merlin.ado
*! version 2.1.5 18mar2022 MJC

. if _rc==111 {
.         cap noi ssc install merlin
.         }

. cap noi which sumat
C:\Users\CISS Fondecyt\ado\plus\s\sumat.ado
*! Part of package matrixtools v. 0.25
*! Support: Niels Henrik Bruun, niels.henrik.bruun@gmail.com
*! 2021-01-03 toxl added

. if _rc==111 {
.         cap noi scc install matrixtools
.         }

. cap noi which estwrite
C:\Users\CISS Fondecyt\ado\plus\e\estwrite.ado
*! version 1.2.4 04sep2009
*! version 1.0.1 15may2007 (renamed from -eststo- to -estwrite-; -append- added)
*! version 1.0.0 29apr2005 Ben Jann (ETH Zurich)

. if _rc==111 {
.         cap noi ssc install estwrite
.         }

. cap noi which winsor2
C:\Users\CISS Fondecyt\ado\plus\w\winsor2.ado
*! Inspirit of -winsor-(NJ Cox) and -winsorizeJ-(J Caskey)
*! Lian Yujun, arlionn@163.com, 2013-12-25
*! 1.1 2014.12.16

. if _rc==111 {
.         cap noi ssc install winsor2
.         }       

.         

We need to obtain the file and the work folder.

. mata : st_numscalar("OK", direxists("/volumes/sdrive/data//"))

. if scalar(OK) == 1 {
.         cap noi cd "/volumes/sdrive/data//"
.         global pathdata "/volumes/sdrive/data//"
.         di "Location= ${pathdata}; Date: `c(current_date)', considering an OS `c(os)' for the user: `c(username)'"
. }

. else display "This file does not exist"
This file does not exist

. 
. mata : st_numscalar("OK", direxists("E:\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags\"))

. if scalar(OK) == 1 {
.         cap noi cd "E:\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags"
.         global pathdata "E:\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags"
.         global pathdata2 "E:/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/"
.         di "Location= ${pathdata}; Date: `c(current_date)', considering an OS `c(os)' for the user: `c(username)'"
. }

. else display "This file does not exist"
This file does not exist

.         
. mata : st_numscalar("OK", direxists("C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags\"))

. if scalar(OK) == 1 {
.         cap noi cd "C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)"
C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)
.         global pathdata "C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags"
.         global pathdata2 "C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/"
.         di "Location= ${pathdata}; Date: `c(current_date)', considering an OS `c(os)' for the user: `c(username)'"
Location= C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags; Date: 21 Oct 2022, considering an OS Windows for
>  the user: CISS Fondecyt
. }

. else display "This file does not exist"

. 
. mata : st_numscalar("OK", direxists("C:\Users\andre\Desktop\_mult_state_ags\"))

. if scalar(OK) == 1 {
.         cap noi cd "C:\Users\andre\Desktop\_mult_state_ags"
.         global pathdata "C:\Users\andre\Desktop\_mult_state_ags"
.         global pathdata2 "C:/Users/andre/Desktop/_mult_state_ags/"
.         di "Location= ${pathdata}; Date: `c(current_date)', considering an OS `c(os)' for the user: `c(username)'"
. }

. else display "This file does not exist"
This file does not exist

. 
. mata : st_numscalar("OK", direxists("C:\Users\CISS Fondecyt\OneDrive\Documentos\"))

. if scalar(OK) == 1 {
.         cap noi cd "C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags"
C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags
.         global pathdata "C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags"
.         global pathdata2 "C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/"
.         di "Location= ${pathdata}; Date: `c(current_date)', considering an OS `c(os)' for the user: `c(username)'"
Location= C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\_mult_state_ags; Date: 21 Oct 2022, considering an OS Windows for
>  the user: CISS Fondecyt
. }

. else display "This file does not exist"

. 

Path data= C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)_mult_state_ags;

Timestamp: 21 Oct 2022, considering that is a Windows OS for the username: CISS Fondecyt

First we open the files and drop the variables that would mistakenly amplify the sample, and define labels.

The file is located and named as: C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/nine_st_msprep_oct22.dta

. //2022-10-09                                                                            
. *a) open                                                                                
.         //use "${pathdata2}five_st_msprep_apr22.dta",    clear                                                          
.         use "${pathdata2}nine_st_msprep_oct22.dta",      clear                                                          

.         *label                                                                  
.         cap noi label variable id "Patient ID"

.         cap noi label variable group_match "Matching group at baseline"

.         cap noi label variable tipo_de_plan_res_1 "Baseline Setting (Residential)"

.         cap noi label variable TD_status  "Baseline treatment completion (TC)"

.         cap noi label variable DWCA_status "Baseline treatment non-completion (TNC)"

.         cap noi label variable Readmission_status "Readmission (TC)"

.         cap noi label variable Readmissionb_status "Readmission (TNC)"

.         cap noi label variable Readmission2_status "Readmission (2nd treatment) (TC)"

.         cap noi label variable Readmission2b_status "Readmission (2nd treatment) (TNC)"

.         cap noi label variable Readmission3_status "Readmission (3rd treatment) (TC)"

.         cap noi label variable Readmission3b_status "Readmission (3rd treatment) (TNC)"

.         cap noi label variable TD_time "Time to Baseline treatment completion (TC)"

.         cap noi label variable DWCA_time "Time to Baseline treatment non-completion (TNC)"

.         cap noi label variable Readmission_time "Time to Readmission (TC)"

.         cap noi label variable Readmissionb_time "Time to Readmission (TNC)"    

.         cap noi label variable Readmission2_time "Time to Readmission (2nd treatment) (TC)"

.         cap noi label variable Readmission2b_time "Time to Readmission (2nd treatment) (TNC)"

.         cap noi label variable Readmission3_time "Time to Readmission (3rd treatment) (TC)"

.         cap noi label variable Readmission3b_time "Time to Readmission (3rd treatment) (TNC)"

.         cap noi label variable cens_time "Censorship from administrative ecnsorship (2019-11-13) - first admission"                      
>                                        

.         
. /*
> //2022-09-28 drop treatments without completion or not completion                                                                        
>        
> *drop if DWCA_1 ==0 & TD_1 ==0                                                                          
> cap noi rename TD_1 TD_status                                                                           
> cap noi rename DWCA_1 DWCA_status                                                                               
> //2022-09-28 generate time-to completion/noncompletion                                                                          
> gen TD_time = dias_treat_imp_sin_na_1                                                                           
> replace TD_time=cens_time if TD_status==0                                                                               
> gen DWCA_time = dias_treat_imp_sin_na_1                                                                         
> replace DWCA_time=cens_time if DWCA_status==0                                                                           
>                                                                                 
> //2022-09-28                                                                            
> gen Readmissionb_time = Readmission_time
> gen Readmission2b_time = Readmission2_time                                                                              
> gen Readmission3b_time = Readmission3_time                                                                              
> gen Readmission4b_time = Readmission4_time                                                                              
> gen Readmissionb_status = Readmission_status                                                                            
> gen Readmission2b_status = Readmission2_status                                                                          
> gen Readmission3b_status = Readmission3_status                                                                          
> gen Readmission4b_status = Readmission4_status                                                                          
> 
> *DWCA                                                                           
> replace Readmissionb_status = 0 if TD_status==1                                                                                 
> replace Readmission2b_status = 0 if TD_status==1                                                                                
> replace Readmission3b_status = 0 if TD_status==1                                                                                
> replace Readmission4b_status = 0 if TD_status==1                                                                                
>                                                                                 
> *TD
> replace Readmission_status = 0 if DWCA_status==1                                                                                
> replace Readmission2_status = 0 if DWCA_status==1                                                                               
> replace Readmission3_status = 0 if DWCA_status==1                                                                               
> replace Readmission4_status = 0 if DWCA_status==1                       
> 
> *if readmission occurred, we substract the time in each treatment trajectory
> replace Readmission_time=Readmission_time-TD_time if Readmission_status==1 & TD_status==1                                                
>                                
> replace Readmissionb_time=Readmissionb_time-DWCA_time if Readmission_statusb==1 & DWCA_status==1        
> 
> *if it is censored because readmission did not happen
> replace Readmission_time=cens_time if Readmission_status==0                                                             
> replace Readmissionb_time=cens_time if Readmissionb_status==0
> 
> order id tipo_de_plan_res_1 cens_time TD_status TD_time DWCA_status DWCA_time Readmission_status Readmission_time Readmissionb_status Rea
> dmissionb_time Readmission2_status Readmission2_time Readmission2b_status Readmission2b_time Readmission3_status Readmission3_time Readmi
> ssion3b_status Readmission3b_time
> 
> *do it again  just in case
> replace Readmission_time=cens_time if Readmission_status==0                                                             
> replace Readmissionb_time=cens_time if Readmissionb_status==0
> replace Readmission2_time=cens_time if Readmission2_status==0                                                           
> replace Readmission2b_time=cens_time if Readmission2b_status==0
> replace Readmission3_time=cens_time if Readmission3_status==0                                                           
> replace Readmission3b_time=cens_time if Readmission3b_status==0
> replace Readmission4_time=cens_time if Readmission4_status==0                                                           
> replace Readmission4b_time=cens_time if Readmission4b_status==0
> */
. 
. order id tipo_de_plan_res_1 cens_time TD_status TD_time DWCA_status DWCA_time Readmission_status Readmission_time Readmissionb_status Rea
> dmissionb_time Readmission2_status Readmission2_time Readmission2b_status Readmission2b_time Readmission3_status Readmission3_time Readmi
> ssion3b_status Readmission3b_time     

. 
. *I'm not sure if this is the problem. It seems that is not
. *drop if DWCA_status==0 & TD_status==0

Then we define the transition matrix:

. matrix mat_nine_states = ( ///                                                                          
> .,1,2,.,.,.,.,.,. \ ///
> .,.,.,3,.,.,.,.,. \ ///
> .,.,.,.,4,.,.,.,. \ ///
> .,.,.,.,.,5,.,.,. \ ///
> .,.,.,.,.,.,6,.,. \ ///
> .,.,.,.,.,.,.,7,. \ ///
> .,.,.,.,.,.,.,.,8 \ ///
> .,.,.,.,.,.,.,.,. \ ///
> .,.,.,.,.,.,.,.,.  ///
> )                                                                               

. *a = completion
. *b = non-completion                                                                             <<
.                                                                                 
. matrix colnames mat_nine_states  = start TD_status DWCA_status Readmission_status Readmissionb_status Readmission2_status Readmission2b_s
> tatus Readmission3_status Readmission3b_status 

. matrix rownames mat_nine_states   = start TD_status DWCA_status Readmission_status Readmissionb_status Readmission2_status Readmission2b_
> status Readmission3_status Readmission3b_status 

. matrix coleq mat_nine_states   = to to to to to to to to to 

. matrix roweq mat_nine_states  = from from from from from from from from from 

.                                                                                 
Transition matrix Transition matrix
   to > h>
   startTD_statusDWCA_statusReadmission_status >Readmissionb_statusReadmission2_statusReadmission2b_statusReadmission3_statusReadmission3b_status h>
fromstart 1 2 >
   TD_status 3 > d>
   DWCA_status > 4 d>
   Readmission_status > 5 d>
   Readmissionb_status > 6 d>
   Readmission2_status > 7 d>
   Readmission2b_status > 8 d>
   Readmission3_status > d>
   Readmission3b_status > d>

and transform the database in a long format according to the specifications and the transition matrix.






Finally, the database adopt the following structure:















































Set the database as a renewal time.

. *stset _stop, enter(_start) failure(_status=1) //* scale(365.25) id(id) 
. 
. *file:///G:/Mi%20unidad/Alvacast/SISTRAT%202019%20(github)/_supp_mstates/stata/crowther2017%20(1).pdf
. stset _time, failure(_status==1)

     failure event:  _status == 1
obs. time interval:  (0, _time]
 exit on or before:  failure

------------------------------------------------------------------------------
     70,643  total observations
          0  exclusions
------------------------------------------------------------------------------
     70,643  observations remaining, representing
     26,313  failures in single-record/single-failure data
   52941729  total analysis time at risk and under observation
                                                at risk from t =         0
                                     earliest observed entry t =         0
                                          last observed exit t =     4,179

. 
. 
. forvalues i = 1/8 {
  2. stphplot if _trans==`i', by(tipo_de_plan_res_1) ///
>         scheme(sj) graphregion(color(white)) ///
>         legend(pos(1) ring(0) col(1) symysize(zero) keygap(1) symxsize(large) order( 1 2) lab(1 "Ambulatory") lab(2 "Residential") size(s
> mall)) ///
>         note("{it:Note. Means and 95% CI's}",size(vsmall)) ///
>         title("Loglog Surv vs. logtime by Tr. Setting (Trans.=`i')", size(small)) name(stphplot_res_`i', replace) ///
>         saving(stphplot_res_`i'_22_corr3.gph, replace)
  3. }

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_1_22_corr3.gph saved)

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_2_22_corr3.gph saved)

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_3_22_corr3.gph saved)

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_4_22_corr3.gph saved)

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_5_22_corr3.gph saved)

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_6_22_corr3.gph saved)

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_7_22_corr3.gph saved)

         failure _d:  _status == 1
   analysis time _t:  _time
(file stphplot_res_8_22_corr3.gph saved)

. 
. graph combine "${pathdata}\stphplot_res_1_22_corr3.gph" "${pathdata}\stphplot_res_2_22_corr3.gph" "${pathdata}\stphplot_res_3_22_corr3.gp
> h" "${pathdata}\stphplot_res_4_22_corr3.gph" ///
>         "${pathdata}\stphplot_res_5_22_corr3.gph" "${pathdata}\stphplot_res_6_22_corr3.gph" "${pathdata}\stphplot_res_7_22_corr3.gph" "${
> pathdata}\stphplot_res_8_22_corr3.gph", ///
> colfirst ycommon xcommon iscale(*.7) imargin(tiny) graphregion(color(gs16)) ///
> title("Combination of −ln{−ln(survival)} vs. ln(analysis time)" "Renewal time", size(medium)) cols(4) /// *subtitle("{it:}", size(small))
>  ///
> note("{it:              Note: Ordered by columns, from up to down, left to right}", size(tiny)) ///
> name(tr_ph_ln_srv_t_res_s_corr3, replace)

. 
. local num 1 2 3 4 5 6 8

. foreach i of local num {
  2. gr_edit .plotregion1.graph`i'.legend.draw_view.setstyle, style(no)
  3. }

. 

=============================================================================

Aalen-Johanssen, Non-parametric transition probabilities

=============================================================================

Generated an Aalen-Johanssen estimator to obtain the transition probabilities of the data from the time 0 (from admission). For this, we separated the transition probabilities according to the setting at baseline.

. *http://fmwww.bc.edu/repec/bocode/m/msaj.ado
. msaj, transmatrix(mat_nine_states) by(tipo_de_plan_res_1) ci

. rename (P_AJ_*) (ajprob*)

To generate figures, we select the valid transitions

Calculate transition probabilities from a determined states in times 90, 365 (1 year), 1095 (3 years) & 1826 (5 years).

variable trp_ajprob* not found



variable _t2 not found

(36,012 real changes made)

(file msaj_12_jun_22_corr3.gph saved)

(file msaj_13_jun_22_corr3.gph saved)

(file msaj_24_jun_22_corr3.gph saved)

(file msaj_35_jun_22_corr3.gph saved)

(file msaj_46_jun_22_corr3.gph saved)

(file msaj_57_jun_22_corr3.gph saved)

(file msaj_68_jun_22_corr3.gph saved)

(file msaj_79_jun_22_corr3.gph saved)

Aalen-Johanssen, Probability Tables

Transition Probabilities from Admission to Treatment completion with confidence intervals

. foreach var of varlist trp_ajprob_30_1826_12 trp_ajprob_30_1826_12_lci trp_ajprob_30_1826_12_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj12 = (e_a_trp_ajprob_30_1826_12, e_a_trp_ajprob_30_1826_12_lci, e_a_trp_ajprob_30_1826_12_uci, e_b_trp_ajprob_30_1826_12, 
> e_b_trp_ajprob_30_1826_12_lci, e_b_trp_ajprob_30_1826_12_uci)

. matrix colnames est_msaj12 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj12) using "${pathdata2}pr_msaj12_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj12_corr3.html)

The transition probabilities are presented here:


est_msaj12
Est_Amb LCI UCI Est_Res LCI UCI

3_mths 0 0 0 0 0 0
1_yr 12.8 12 13.5 24.4 23.5 25.3
3_yrs 23.5 22.6 24.5 34.2 33.1 35.2
5_yrs 21.9 20.9 22.9 31.3 30.2 32.4

Transition Probabilities from Admission to Treatment Non-completion

. foreach var of varlist trp_ajprob_30_1826_13 trp_ajprob_30_1826_13_lci trp_ajprob_30_1826_13_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj13 = (e_a_trp_ajprob_30_1826_13, e_a_trp_ajprob_30_1826_13_lci, e_a_trp_ajprob_30_1826_13_uci, e_b_trp_ajprob_30_1826_13, 
> e_b_trp_ajprob_30_1826_13_lci, e_b_trp_ajprob_30_1826_13_uci)

. matrix colnames est_msaj13 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj13) using "${pathdata2}pr_msaj13_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj13_corr3.html)

The transition probabilities are presented here:


est_msaj13
Est_Amb LCI UCI Est_Res LCI UCI

3_mths .2 .1 .3 .1 .1 .2
1_yr 46.9 45.8 47.9 31.8 30.8 32.8
3_yrs 48.6 47.5 49.6 31.8 30.8 32.8
5_yrs 45.5 44.5 46.6 29.4 28.5 30.4

Transition Probabilities from Treatment Completion to Readmission

. foreach var of varlist trp_ajprob_30_1826_24 trp_ajprob_30_1826_24_lci trp_ajprob_30_1826_24_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj24 = (e_a_trp_ajprob_30_1826_24, e_a_trp_ajprob_30_1826_24_lci, e_a_trp_ajprob_30_1826_24_uci, e_b_trp_ajprob_30_1826_24, 
> e_b_trp_ajprob_30_1826_24_lci, e_b_trp_ajprob_30_1826_24_uci)

. matrix colnames est_msaj24 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj24) using "${pathdata2}pr_msaj24_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj24_corr3.html)

The transition probabilities are presented here:


est_msaj24
Est_Amb LCI UCI Est_Res LCI UCI

3_mths 0 0 0 0 0 0
1_yr 6.5 5.4 7.6 9.6 8.5 10.6
3_yrs 13.5 11.8 15.1 18.8 17.3 20.2
5_yrs 18.1 15.9 20.2 22.6 20.9 24.3

Transition Probabilities from Treatment Non-completion to Readmission

. foreach var of varlist trp_ajprob_30_1826_35 trp_ajprob_30_1826_35_lci trp_ajprob_30_1826_35_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj35 = (e_a_trp_ajprob_30_1826_35, e_a_trp_ajprob_30_1826_35_lci, e_a_trp_ajprob_30_1826_35_uci, e_b_trp_ajprob_30_1826_35, 
> e_b_trp_ajprob_30_1826_35_lci, e_b_trp_ajprob_30_1826_35_uci)

. matrix colnames est_msaj35 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj35) using "${pathdata2}pr_msaj35_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj35_corr3.html)

The transition probabilities are presented here:


est_msaj35
Est_Amb LCI UCI Est_Res LCI UCI

3_mths 0 0 .1 0 0 .1
1_yr 8.3 7.6 8.9 11.7 10.8 12.5
3_yrs 15.8 14.9 16.7 20.2 19.1 21.3
5_yrs 19.3 18.2 20.4 23.5 22.2 24.7

Transition Probabilities from Readmission to Second Readmission (TC)

. foreach var of varlist trp_ajprob_30_1826_46 trp_ajprob_30_1826_46_lci trp_ajprob_30_1826_46_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj46 = (e_a_trp_ajprob_30_1826_46, e_a_trp_ajprob_30_1826_46_lci, e_a_trp_ajprob_30_1826_46_uci, e_b_trp_ajprob_30_1826_46, 
> e_b_trp_ajprob_30_1826_46_lci, e_b_trp_ajprob_30_1826_46_uci)

. matrix colnames est_msaj46 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj46) using "${pathdata2}pr_msaj46_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj46_corr3.html)

The transition probabilities are presented here:


est_msaj46
Est_Amb LCI UCI Est_Res LCI UCI

3_mths 0 0 0 0 0 0
1_yr 7.9 5.2 10.6 10.2 8.4 12.1
3_yrs 22.5 17.7 27.3 23.7 20.7 26.6
5_yrs 24.9 18.8 31 30.3 26.7 33.9

Transition Probabilities from Readmission to Second Readmission (TNC)

. foreach var of varlist trp_ajprob_30_1826_57 trp_ajprob_30_1826_57_lci trp_ajprob_30_1826_57_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj57 = (e_a_trp_ajprob_30_1826_57, e_a_trp_ajprob_30_1826_57_lci, e_a_trp_ajprob_30_1826_57_uci, e_b_trp_ajprob_30_1826_57, 
> e_b_trp_ajprob_30_1826_57_lci, e_b_trp_ajprob_30_1826_57_uci)

. matrix colnames est_msaj57 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj57) using "${pathdata2}pr_msaj57_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj57_corr3.html)

The transition probabilities are presented here:


est_msaj57
Est_Amb LCI UCI Est_Res LCI UCI

3_mths 0 0 .1 0 0 .1
1_yr 11.5 10 13 10.7 9.4 12
3_yrs 23.7 21.5 25.9 24.2 22.3 26.2
5_yrs 25.2 22.4 28 27 24.5 29.4

Transition Probabilities from Second to Third Readmission (TC)

. foreach var of varlist trp_ajprob_30_1826_68 trp_ajprob_30_1826_68_lci trp_ajprob_30_1826_68_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj68 = (e_a_trp_ajprob_30_1826_68, e_a_trp_ajprob_30_1826_68_lci, e_a_trp_ajprob_30_1826_68_uci, e_b_trp_ajprob_30_1826_68, 
> e_b_trp_ajprob_30_1826_68_lci, e_b_trp_ajprob_30_1826_68_uci)

. matrix colnames est_msaj68 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj68) using "${pathdata2}pr_msaj68_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj68_corr3.html)

The transition probabilities are presented here:


est_msaj68
Est_Amb LCI UCI Est_Res LCI UCI

3_mths 0 0 0 0 0 0
1_yr 14.2 7 21.4 11 7.5 14.5
3_yrs 32.3 21.8 42.8 32.2 26.1 38.2
5_yrs 41.6 29 54.2 37.3 30.8 43.9

Transition Probabilities from Second to Third Readmission (TNC)

. foreach var of varlist trp_ajprob_30_1826_79 trp_ajprob_30_1826_79_lci trp_ajprob_30_1826_79_uci  {
  2.                                 scalar variable = "`var'"
  3.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==0 
  4.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
  5.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==0 
  6.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
  7.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==0 
  8.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
  9.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==0 
 10.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 11.          cap noi matrix e_a_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 12.          matrix colnames e_a_`var' = `var'
 13.          matrix rownames e_a_`var' = 3_mths 1_yr 3_yrs 5_yrs
 14.                                         qui summarize `var' if inrange(_t, 90, 91) & tipo_de_plan_res_1==1 
 15.                                         scalar e3m_`var' = round(round(r(mean),.001)*100,.1)
 16.                                         qui summarize `var' if inrange(_t, 365, 366) & tipo_de_plan_res_1==1
 17.                                         scalar e1y_`var' = round(round(r(mean),.001)*100,.1)
 18.                                         qui summarize `var' if inrange(_t, 1095, 1096) & tipo_de_plan_res_1==1
 19.                                         scalar e3y_`var' = round(round(r(mean),.001)*100,.1)
 20.                                         qui summarize `var' if inrange(_t,  1812, 1827) & tipo_de_plan_res_1==1
 21.                                         scalar e5y_`var' = round(round(r(mean),.001)*100,.1)
 22.          cap noi matrix e_b_`var' = (`=scalar(e3m_`var')'\  `=scalar(e1y_`var')'\ `=scalar(scalar(e3y_`var'))'\ `=scalar(scalar(e5y_`v
> ar'))')
 23.          matrix colnames e_b_`var' = `var'
 24.          matrix rownames e_b_`var' = 3_mths 1_yr 3_yrs 5_yrs
 25.  }

. 
. matrix est_msaj79 = (e_a_trp_ajprob_30_1826_79, e_a_trp_ajprob_30_1826_79_lci, e_a_trp_ajprob_30_1826_79_uci, e_b_trp_ajprob_30_1826_79, 
> e_b_trp_ajprob_30_1826_79_lci, e_b_trp_ajprob_30_1826_79_uci)

. matrix colnames est_msaj79 = Est_Amb LCI UCI Est_Res LCI UCI

. 
. esttab matrix(est_msaj79) using "${pathdata2}pr_msaj79_corr3.html", replace 
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/pr_msaj79_corr3.html)

The transition probabilities are presented here:


est_msaj79
Est_Amb LCI UCI Est_Res LCI UCI

3_mths 0 0 0 0 0 0
1_yr 11.6 8.8 14.4 13.9 11.2 16.5
3_yrs 32.8 28.2 37.3 34.8 30.9 38.8
5_yrs 44.7 39.2 50.3 45.2 40.5 49.9

=============================================================================

Parametric Models

=============================================================================

Intercept-only

We generated a list of parametric and intercept-only survival models with different distributions (Exponential, Weibull, Gompertz, Log-logistic, Log-normal & Generalized gamma. Aditionally, we defined a series of Royston-Parmar models with a function of restricted cubic splines, in which the knots (#df -1) are defined in each percentile of the distribution. We saved the estimates in the file called `parmodels_m_jun_22_corr3’.

. forvalues i = 1/8 {
  2.         // Exponential
.         di in yellow "{bf: ***********}"
  3.         di in yellow "{bf: Transition `i': family Exp (intercept-only)}"
  4.         di in yellow "{bf: ***********}"
  5.         set seed 2125
  6.         qui cap noi merlin (_time if _trans == `i', family(exponential, fail(_status)))
  7.         estimates store m`i'_exp
  8.         // Weibull
.         di in yellow "{bf: ***********}"
  9.         di in yellow "{bf: Transition `i': family Wei (intercept-only)}"
 10.         di in yellow "{bf: ***********}"
 11.         set seed 2125
 12.         qui cap noi merlin (_time if _trans == `i', family(weibull, fail(_status)))
 13.         estimates store m`i'_weib
 14.         // Gompertz
.         di in yellow "{bf: ***********}"
 15.         di in yellow "{bf: Transition `i': family Gomp (intercept-only)}"
 16.         di in yellow "{bf: ***********}"
 17.         set seed 2125
 18.         qui cap noi merlin (_time if _trans == `i', family(gompertz, fail(_status)))
 19.         estimates store m`i'_gom
 20.         // Log logistic
.         di in yellow "{bf: ***********}"
 21.         di in yellow "{bf: Transition `i': family Logl (intercept-only)}"
 22.         di in yellow "{bf: ***********}"
 23.         set seed 2125
 24.         qui cap noi merlin (_time if _trans == `i', family(loglogistic, fail(_status)))
 25.         estimates store m`i'_logl
 26.         // Log normal
.         di in yellow "{bf: ***********}"
 27.         di in yellow "{bf: Transition `i': family Logn (intercept-only)}"
 28.         di in yellow "{bf: ***********}"
 29.         set seed 2125
 30.         qui cap noi merlin (_time if _trans == `i', family(lognormal, fail(_status)))
 31.         estimates store m`i'_logn
 32.         // Generalised gamma
.         di in yellow "{bf: ***********}"
 33.         di in yellow "{bf: Transition `i': family Ggam (intercept-only)}"
 34.         di in yellow "{bf: ***********}"
 35.         set seed 2125
 36.         qui cap noi merlin (_time if _trans == `i', family(ggamma, fail(_status)))
 37.         estimates store m`i'_ggam
 38.         // Royston Parmar models
.         forvalues j=2/10 {
 39.                 set seed 2125
 40.                 di in yellow "{bf: ***********}"
 41.                 di in yellow "{bf: Transition `i': family RP`j' (intercept-only)}"
 42.                 di in yellow "{bf: ***********}"
 43.                 qui cap noi merlin (_time if _trans == `i', family(rp, df(`j') fail(_status)))
 44.                 estimates store m`i'_rp`j'
 45.         }       
 46. }
 ***********
 Transition 1: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48864.472  
Iteration 2:   log likelihood = -45536.344  
Iteration 3:   log likelihood =  -45508.15  
Iteration 4:   log likelihood = -45508.084  
Iteration 5:   log likelihood = -45508.084  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -45508.084
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.496655   .0136641  -548.64   0.000    -7.523436   -7.469874
------------------------------------------------------------------------------
 ***********
 Transition 1: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48864.322  (not concave)
Iteration 2:   log likelihood = -45947.602  
Iteration 3:   log likelihood = -45519.343  
Iteration 4:   log likelihood = -45458.371  
Iteration 5:   log likelihood =  -45457.47  
Iteration 6:   log likelihood =  -45457.47  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood =  -45457.47
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -6.911915   .0581693  -118.82   0.000    -7.025925   -6.797905
  log(gamma) |  -.0900893   .0091985    -9.79   0.000    -.1081181   -.0720605
------------------------------------------------------------------------------
 ***********
 Transition 1: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -3.30e+182  
Iteration 1:   log likelihood = -2607118.4  (not concave)
Iteration 2:   log likelihood = -2581047.2  
Iteration 3:   log likelihood = -2581047.2  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -2581047.2
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -521.7261          .        .       .            .           .
       gamma |   .1163434          .        .       .            .           .
------------------------------------------------------------------------------
 ***********
 Transition 1: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =    -147792  (not concave)
Iteration 1:   log likelihood = -53465.397  (not concave)
Iteration 2:   log likelihood = -45213.691  
Iteration 3:   log likelihood = -44624.321  
Iteration 4:   log likelihood = -44615.008  
Iteration 5:   log likelihood = -44614.983  
Iteration 6:   log likelihood = -44614.983  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -44614.983
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   6.855374   .0163915   418.23   0.000     6.823247    6.887501
       dap:1 |  -.2512805   .0102574   -24.50   0.000    -.2713847   -.2311764
------------------------------------------------------------------------------
 ***********
 Transition 1: family Logn (intercept-only)
 ***********

Fitting full model:

initial values not feasible

-> Starting values failed - trying zero vector

initial values not feasible
 ***********
 Transition 1: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -196859.24  (not concave)
Iteration 1:   log likelihood = -48950.851  
Iteration 2:   log likelihood = -46815.088  (backed up)
Iteration 3:   log likelihood = -44860.043  
Iteration 4:   log likelihood = -44712.478  
Iteration 5:   log likelihood = -44707.177  
Iteration 6:   log likelihood = -44706.579  (backed up)
Iteration 7:   log likelihood = -44706.283  (backed up)
Iteration 8:   log likelihood = -44706.246  (backed up)
Iteration 9:   log likelihood = -44706.228  (backed up)
Iteration 10:  log likelihood = -44706.225  (backed up)
Iteration 11:  log likelihood = -44706.224  (not concave)
Iteration 12:  log likelihood = -44683.398  
Iteration 13:  log likelihood = -44676.582  
Iteration 14:  log likelihood = -44674.575  
Iteration 15:  log likelihood = -44673.073  
Iteration 16:  log likelihood =  -44673.07  (backed up)
Iteration 17:  log likelihood = -44673.069  (backed up)
Iteration 18:  log likelihood = -44673.068  (backed up)
Iteration 19:  log likelihood = -44673.068  (backed up)
Iteration 20:  log likelihood = -44673.068  (backed up)
Iteration 21:  log likelihood = -44673.068  (not concave)
Iteration 22:  log likelihood = -44673.068  (not concave)
Iteration 23:  log likelihood = -44673.068  (backed up)
Iteration 24:  log likelihood = -44673.066  (backed up)
Iteration 25:  log likelihood = -44672.995  
Iteration 26:  log likelihood = -44672.995  (backed up)
Iteration 27:  log likelihood = -44672.995  (not concave)
could not calculate numerical derivatives -- discontinuous region with missing values encountered
 ***********
 Transition 1: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -44788.562  
Iteration 2:   log likelihood = -43623.752  
Iteration 3:   log likelihood = -43448.677  
Iteration 4:   log likelihood = -43448.334  
Iteration 5:   log likelihood = -43448.334  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -43448.334
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -3.318125    .034095   -97.32   0.000     -3.38495     -3.2513
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -47078.414  
Iteration 2:   log likelihood = -44094.959  
Iteration 3:   log likelihood = -43866.576  
Iteration 4:   log likelihood = -43673.794  
Iteration 5:   log likelihood = -43367.923  
Iteration 6:   log likelihood = -42534.136  
Iteration 7:   log likelihood = -41981.924  
Iteration 8:   log likelihood = -41933.985  
Iteration 9:   log likelihood = -41916.993  
Iteration 10:  log likelihood = -41915.737  
Iteration 11:  log likelihood = -41915.728  
Iteration 12:  log likelihood = -41915.728  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41915.728
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   -2.63034   .0246388  -106.76   0.000    -2.678631   -2.582049
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -45232.118  
Iteration 2:   log likelihood = -44594.274  
Iteration 3:   log likelihood =  -44063.98  
Iteration 4:   log likelihood = -43876.191  
Iteration 5:   log likelihood =  -43263.55  
Iteration 6:   log likelihood = -42002.114  
Iteration 7:   log likelihood = -41913.124  
Iteration 8:   log likelihood = -41855.765  
Iteration 9:   log likelihood = -41840.139  
Iteration 10:  log likelihood =   -41839.1  
Iteration 11:  log likelihood = -41839.097  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41839.097
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -2.791489   .0292416   -95.46   0.000    -2.848801   -2.734176
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -46896.616  
Iteration 2:   log likelihood = -45195.882  
Iteration 3:   log likelihood = -44546.889  
Iteration 4:   log likelihood = -44302.328  
Iteration 5:   log likelihood = -43505.971  
Iteration 6:   log likelihood = -41879.971  
Iteration 7:   log likelihood =  -41826.08  
Iteration 8:   log likelihood = -41825.249  
Iteration 9:   log likelihood = -41825.026  
Iteration 10:  log likelihood = -41825.004  
Iteration 11:  log likelihood = -41825.004  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41825.004
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -2.792181   .0299924   -93.10   0.000    -2.850966   -2.733397
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -46902.859  
Iteration 2:   log likelihood = -45200.339  
Iteration 3:   log likelihood = -44551.413  
Iteration 4:   log likelihood = -44077.337  
Iteration 5:   log likelihood = -41888.526  
Iteration 6:   log likelihood = -41792.385  
Iteration 7:   log likelihood = -41790.956  
Iteration 8:   log likelihood = -41790.956  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41790.956
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -2.817109   .0310884   -90.62   0.000    -2.878042   -2.756177
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -46878.996  
Iteration 2:   log likelihood = -45175.404  
Iteration 3:   log likelihood = -44525.713  
Iteration 4:   log likelihood = -44276.255  
Iteration 5:   log likelihood = -43840.575  
Iteration 6:   log likelihood = -42638.243  
Iteration 7:   log likelihood = -41781.205  
Iteration 8:   log likelihood = -41762.717  
Iteration 9:   log likelihood = -41762.597  
Iteration 10:  log likelihood = -41762.597  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41762.597
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -2.785367   .0309661   -89.95   0.000     -2.84606   -2.724675
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -46866.161  
Iteration 2:   log likelihood = -45159.791  
Iteration 3:   log likelihood = -44510.772  
Iteration 4:   log likelihood = -43620.553  
Iteration 5:   log likelihood = -41817.507  
Iteration 6:   log likelihood = -41750.696  
Iteration 7:   log likelihood = -41749.981  
Iteration 8:   log likelihood = -41749.886  
Iteration 9:   log likelihood = -41749.884  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41749.884
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -2.768977   .0307907   -89.93   0.000    -2.829326   -2.708628
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -45156.289  
Iteration 2:   log likelihood = -44512.883  
Iteration 3:   log likelihood = -44243.775  
Iteration 4:   log likelihood = -44020.156  
Iteration 5:   log likelihood = -43309.059  
Iteration 6:   log likelihood = -41875.028  
Iteration 7:   log likelihood = -41778.672  
Iteration 8:   log likelihood = -41744.524  
Iteration 9:   log likelihood = -41738.633  
Iteration 10:  log likelihood = -41738.439  
Iteration 11:  log likelihood = -41738.438  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41738.438
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -2.760313   .0307298   -89.83   0.000    -2.820542   -2.700084
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood =  -45119.95  
Iteration 2:   log likelihood = -44475.923  
Iteration 3:   log likelihood = -44206.789  
Iteration 4:   log likelihood =  -43983.65  
Iteration 5:   log likelihood = -43273.013  
Iteration 6:   log likelihood = -41846.165  
Iteration 7:   log likelihood = -41758.032  
Iteration 8:   log likelihood = -41739.837  
Iteration 9:   log likelihood = -41738.122  
Iteration 10:  log likelihood = -41738.121  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -41738.121
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -2.755891    .030698   -89.77   0.000    -2.816058   -2.695724
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117178.62  
Iteration 2:   log likelihood = -99457.358  
Iteration 3:   log likelihood = -99372.022  
Iteration 4:   log likelihood = -99371.693  
Iteration 5:   log likelihood = -99371.693  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -99371.693
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -6.604782   .0087481  -755.00   0.000    -6.621928   -6.587637
------------------------------------------------------------------------------
 ***********
 Transition 2: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117147.67  (not concave)
Iteration 2:   log likelihood =  -109096.2  
Iteration 3:   log likelihood = -99377.879  
Iteration 4:   log likelihood = -96554.551  
Iteration 5:   log likelihood = -95743.065  
Iteration 6:   log likelihood = -95723.429  
Iteration 7:   log likelihood = -95723.403  
Iteration 8:   log likelihood = -95723.403  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -95723.403
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -3.990023   .0274686  -145.26   0.000     -4.04386   -3.936185
  log(gamma) |  -.5091855    .006942   -73.35   0.000    -.5227916   -.4955794
------------------------------------------------------------------------------
 ***********
 Transition 2: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -3.30e+182  
Iteration 1:   log likelihood = -6616583.2  
Iteration 2:   log likelihood = -6554234.1  (backed up)
Iteration 3:   log likelihood = -6554234.1  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -6554234.1
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -519.0693          .        .       .            .           .
       gamma |   .1161771          .        .       .            .           .
------------------------------------------------------------------------------
 ***********
 Transition 2: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -177690.65  (not concave)
Iteration 1:   log likelihood = -94416.142  
Iteration 2:   log likelihood = -94025.156  
Iteration 3:   log likelihood = -94022.049  
Iteration 4:   log likelihood = -94022.048  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -94022.048
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   5.741218   .0140008   410.06   0.000     5.713777    5.768659
       dap:1 |   .1009991   .0074661    13.53   0.000     .0863658    .1156324
------------------------------------------------------------------------------
 ***********
 Transition 2: family Logn (intercept-only)
 ***********

Fitting full model:

initial values not feasible

-> Starting values failed - trying zero vector

initial values not feasible
 ***********
 Transition 2: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -223309.66  (not concave)
Iteration 1:   log likelihood = -98612.712  
Iteration 2:   log likelihood = -95225.131  
Iteration 3:   log likelihood = -94616.899  
Iteration 4:   log likelihood = -93709.244  
Iteration 5:   log likelihood = -93687.203  
Iteration 6:   log likelihood = -93687.149  
Iteration 7:   log likelihood = -93687.149  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -93687.149
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |    5.39687   .0238881   225.92   0.000      5.35005     5.44369
  log(sigma) |   .7167728    .006748   106.22   0.000     .7035469    .7299987
       kappa |  -.5960602   .0236667   -25.19   0.000    -.6424462   -.5496743
------------------------------------------------------------------------------
 ***********
 Transition 2: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -92739.568  
Iteration 2:   log likelihood = -92573.669  
Iteration 3:   log likelihood = -92570.893  
Iteration 4:   log likelihood = -92570.891  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -92570.891
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.9291797   .0099173   -93.69   0.000    -.9486174   -.9097421
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91716.063  
Iteration 2:   log likelihood =  -91672.44  
Iteration 3:   log likelihood = -91662.522  
Iteration 4:   log likelihood = -91662.456  
Iteration 5:   log likelihood = -91662.455  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -91662.455
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.8983577   .0098465   -91.24   0.000    -.9176564    -.879059
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91703.159  
Iteration 2:   log likelihood = -91662.847  
Iteration 3:   log likelihood = -91652.664  
Iteration 4:   log likelihood =  -91652.64  
Iteration 5:   log likelihood =  -91652.64  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood =  -91652.64
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   -.897543   .0098468   -91.15   0.000    -.9168424   -.8782437
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91706.721  
Iteration 2:   log likelihood = -91658.952  
Iteration 3:   log likelihood =  -91648.75  
Iteration 4:   log likelihood = -91648.738  
Iteration 5:   log likelihood = -91648.738  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -91648.738
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.8972673    .009846   -91.13   0.000    -.9165651   -.8779694
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91719.685  
Iteration 2:   log likelihood = -91656.603  
Iteration 3:   log likelihood = -91645.201  
Iteration 4:   log likelihood = -91645.135  
Iteration 5:   log likelihood = -91645.134  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -91645.134
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.8971402   .0098459   -91.12   0.000    -.9164378   -.8778425
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91738.328  
Iteration 2:   log likelihood = -91685.045  
Iteration 3:   log likelihood = -91649.051  
Iteration 4:   log likelihood = -91641.428  
Iteration 5:   log likelihood = -91641.378  
Iteration 6:   log likelihood = -91641.378  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -91641.378
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.8970257   .0098457   -91.11   0.000    -.9163228   -.8777286
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91758.436  
Iteration 2:   log likelihood = -91691.504  
Iteration 3:   log likelihood = -91663.977  
Iteration 4:   log likelihood = -91643.524  
Iteration 5:   log likelihood = -91638.444  
Iteration 6:   log likelihood = -91638.436  
Iteration 7:   log likelihood = -91638.436  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -91638.436
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.8969778   .0098457   -91.10   0.000    -.9162749   -.8776806
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91775.948  
Iteration 2:   log likelihood = -91697.188  
Iteration 3:   log likelihood = -91664.911  
Iteration 4:   log likelihood = -91641.703  
Iteration 5:   log likelihood = -91635.381  
Iteration 6:   log likelihood = -91635.222  
Iteration 7:   log likelihood = -91635.218  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -91635.218
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.8969477   .0098458   -91.10   0.000     -.916245   -.8776503
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -91790.163  
Iteration 2:   log likelihood = -91700.787  
Iteration 3:   log likelihood = -91664.334  
Iteration 4:   log likelihood = -91648.061  
Iteration 5:   log likelihood = -91634.799  
Iteration 6:   log likelihood = -91630.856  
Iteration 7:   log likelihood = -91630.854  

Fixed effects regression model                  Number of obs     =     22,452
Log likelihood = -91630.854
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -.8969278   .0098459   -91.10   0.000    -.9162255   -.8776301
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14493.721  
Iteration 2:   log likelihood = -14396.389  
Iteration 3:   log likelihood =  -14390.26  
Iteration 4:   log likelihood = -14390.248  
Iteration 5:   log likelihood = -14390.248  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -14390.248
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -8.479742   .0256664  -330.38   0.000    -8.530047   -8.429437
------------------------------------------------------------------------------
 ***********
 Transition 3: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14493.312  (not concave)
Iteration 2:   log likelihood = -14402.254  
Iteration 3:   log likelihood = -14119.521  
Iteration 4:   log likelihood = -13956.738  
Iteration 5:   log likelihood = -13950.766  
Iteration 6:   log likelihood = -13950.586  
Iteration 7:   log likelihood = -13950.586  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13950.586
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -5.084906   .0962535   -52.83   0.000    -5.273559   -4.896253
  log(gamma) |  -.6095176   .0233517   -26.10   0.000     -.655286   -.5637492
------------------------------------------------------------------------------
 ***********
 Transition 3: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -7.12e+162  
Iteration 1:   log likelihood =  -694806.3  
Iteration 2:   log likelihood =  -694806.3  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood =  -694806.3
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -518.8245          .        .       .            .           .
       gamma |   .1016034          .        .       .            .           .
------------------------------------------------------------------------------
 ***********
 Transition 3: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -43960.287  (not concave)
Iteration 1:   log likelihood =   -17987.3  (not concave)
Iteration 2:   log likelihood = -14491.102  
Iteration 3:   log likelihood =  -13956.97  
Iteration 4:   log likelihood = -13942.496  
Iteration 5:   log likelihood = -13942.304  
Iteration 6:   log likelihood = -13942.304  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13942.304
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   8.852302   .0655015   135.15   0.000     8.723922    8.980683
       dap:1 |    .512176   .0228938    22.37   0.000      .467305    .5570471
------------------------------------------------------------------------------
 ***********
 Transition 3: family Logn (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -144513.5  (not concave)
Iteration 1:   log likelihood = -18881.866  (not concave)
Iteration 2:   log likelihood = -15138.989  (not concave)
Iteration 3:   log likelihood = -14531.077  
Iteration 4:   log likelihood = -14151.919  
Iteration 5:   log likelihood = -14079.518  
Iteration 6:   log likelihood = -13948.155  
Iteration 7:   log likelihood = -13946.765  
Iteration 8:   log likelihood = -13946.763  
Iteration 9:   log likelihood = -13946.763  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13946.763
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   9.146052     .07824   116.90   0.000     8.992704      9.2994
       dap:1 |   1.165007   .0204712    56.91   0.000     1.124884     1.20513
------------------------------------------------------------------------------
 ***********
 Transition 3: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -75485.333  (not concave)
Iteration 1:   log likelihood = -14352.113  
Iteration 2:   log likelihood = -13955.884  
Iteration 3:   log likelihood = -13945.175  
Iteration 4:   log likelihood = -13940.698  
Iteration 5:   log likelihood =  -13940.56  
Iteration 6:   log likelihood =  -13940.56  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood =  -13940.56
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   9.285373   .0780103   119.03   0.000     9.132476     9.43827
  log(sigma) |      .9615   .0669481    14.36   0.000     .8302841    1.092716
       kappa |   .4217478   .1162585     3.63   0.000     .1938853    .6496104
------------------------------------------------------------------------------
 ***********
 Transition 3: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -13954.906  
Iteration 2:   log likelihood =  -13943.63  
Iteration 3:   log likelihood =  -13943.59  
Iteration 4:   log likelihood =  -13943.59  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood =  -13943.59
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.475925   .0269962   -54.67   0.000    -1.528837   -1.423013
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -13950.927  
Iteration 2:   log likelihood =  -13939.56  
Iteration 3:   log likelihood =  -13939.52  
Iteration 4:   log likelihood =  -13939.52  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood =  -13939.52
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.476413   .0269976   -54.69   0.000    -1.529327   -1.423498
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -13950.554  
Iteration 2:   log likelihood = -13937.697  
Iteration 3:   log likelihood =  -13937.66  
Iteration 4:   log likelihood =  -13937.66  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood =  -13937.66
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.476407   .0269989   -54.68   0.000    -1.529324   -1.423491
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -13956.283  
Iteration 2:   log likelihood = -13935.784  
Iteration 3:   log likelihood = -13935.543  
Iteration 4:   log likelihood = -13935.542  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13935.542
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.476456   .0270008   -54.68   0.000    -1.529377   -1.423536
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -13971.998  
Iteration 2:   log likelihood = -13932.918  
Iteration 3:   log likelihood = -13930.947  
Iteration 4:   log likelihood = -13930.938  
Iteration 5:   log likelihood = -13930.938  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13930.938
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.476573   .0270026   -54.68   0.000    -1.529497   -1.423649
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -14011.235  
Iteration 2:   log likelihood = -13939.881  
Iteration 3:   log likelihood =  -13926.89  
Iteration 4:   log likelihood = -13926.555  
Iteration 5:   log likelihood = -13926.555  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13926.555
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.476659   .0270032   -54.68   0.000    -1.529584   -1.423734
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -14062.154  
Iteration 2:   log likelihood = -13976.779  
Iteration 3:   log likelihood = -13932.281  
Iteration 4:   log likelihood = -13924.436  
Iteration 5:   log likelihood = -13924.289  
Iteration 6:   log likelihood = -13924.289  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13924.289
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   -1.47672   .0270035   -54.69   0.000    -1.529646   -1.423794
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -14171.688  
Iteration 2:   log likelihood = -13925.271  
Iteration 3:   log likelihood = -13921.347  
Iteration 4:   log likelihood = -13921.308  
Iteration 5:   log likelihood = -13921.308  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13921.308
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.476768   .0270037   -54.69   0.000    -1.529694   -1.423842
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood =  -14173.78  
Iteration 2:   log likelihood = -13924.282  
Iteration 3:   log likelihood = -13918.732  
Iteration 4:   log likelihood = -13918.659  
Iteration 5:   log likelihood = -13918.659  

Fixed effects regression model                  Number of obs     =      5,356
Log likelihood = -13918.659
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.476788   .0270038   -54.69   0.000    -1.529715   -1.423861
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38464.425  
Iteration 2:   log likelihood = -38132.143  
Iteration 3:   log likelihood = -38100.969  
Iteration 4:   log likelihood = -38100.866  
Iteration 5:   log likelihood = -38100.866  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -38100.866
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -8.416922   .0157212  -535.39   0.000    -8.447735   -8.386109
------------------------------------------------------------------------------
 ***********
 Transition 4: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38462.951  (not concave)
Iteration 2:   log likelihood = -38153.661  
Iteration 3:   log likelihood = -37486.429  
Iteration 4:   log likelihood = -36753.694  
Iteration 5:   log likelihood =  -36669.32  
Iteration 6:   log likelihood = -36658.974  
Iteration 7:   log likelihood = -36658.934  
Iteration 8:   log likelihood = -36658.934  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36658.934
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -4.765073   .0559897   -85.11   0.000    -4.874811   -4.655335
  log(gamma) |  -.6730526   .0144026   -46.73   0.000    -.7012812    -.644824
------------------------------------------------------------------------------
 ***********
 Transition 4: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -8.12e+160  
Iteration 1:   log likelihood = -1883810.9  
Iteration 2:   log likelihood = -1883810.9  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -1883810.9
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -521.3045          .        .       .            .           .
       gamma |   .1022959          .        .       .            .           .
------------------------------------------------------------------------------
 ***********
 Transition 4: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -108807.03  (not concave)
Iteration 1:   log likelihood = -45718.612  (not concave)
Iteration 2:   log likelihood = -37630.392  
Iteration 3:   log likelihood = -36657.569  
Iteration 4:   log likelihood = -36613.873  
Iteration 5:   log likelihood =  -36613.41  
Iteration 6:   log likelihood =  -36613.41  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood =  -36613.41
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |    8.76784    .041347   212.06   0.000     8.686802    8.848879
       dap:1 |   .5651811   .0140388    40.26   0.000     .5376656    .5926965
------------------------------------------------------------------------------
 ***********
 Transition 4: family Logn (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -355087.89  (not concave)
Iteration 1:   log likelihood = -70836.587  (not concave)
Iteration 2:   log likelihood = -39371.861  
Iteration 3:   log likelihood = -36641.368  
Iteration 4:   log likelihood = -36575.473  
Iteration 5:   log likelihood = -36573.941  
Iteration 6:   log likelihood = -36573.941  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36573.941
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |    8.99862   .0481888   186.74   0.000     8.904172    9.093068
       dap:1 |   1.187251   .0126282    94.02   0.000       1.1625    1.212002
------------------------------------------------------------------------------
 ***********
 Transition 4: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -186824.38  (not concave)
Iteration 1:   log likelihood = -37379.755  (not concave)
Iteration 2:   log likelihood = -37368.106  
Iteration 3:   log likelihood = -36627.762  
Iteration 4:   log likelihood = -36578.002  
Iteration 5:   log likelihood = -36576.157  
Iteration 6:   log likelihood = -36575.156  
Iteration 7:   log likelihood = -36575.005  
Iteration 8:   log likelihood = -36574.937  
Iteration 9:   log likelihood = -36574.905  (backed up)
Iteration 10:  log likelihood = -36574.889  (backed up)
Iteration 11:  log likelihood = -36574.881  (backed up)
Iteration 12:  log likelihood = -36574.881  (backed up)
Iteration 13:  log likelihood = -36574.881  (backed up)
Iteration 14:  log likelihood = -36574.881  (backed up)
Iteration 15:  log likelihood = -36574.881  (backed up)
Iteration 16:  log likelihood = -36574.881  (backed up)
Iteration 17:  log likelihood = -36574.879  (not concave)
could not calculate numerical derivatives -- discontinuous region with missing values encountered
 ***********
 Transition 4: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36618.058  
Iteration 2:   log likelihood = -36583.496  
Iteration 3:   log likelihood = -36583.445  
Iteration 4:   log likelihood = -36583.445  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36583.445
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.375099   .0164328   -83.68   0.000    -1.407306   -1.342891
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36603.811  
Iteration 2:   log likelihood = -36569.129  
Iteration 3:   log likelihood = -36569.014  
Iteration 4:   log likelihood = -36569.014  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36569.014
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.375067    .016433   -83.68   0.000    -1.407275   -1.342859
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood =  -36602.16  
Iteration 2:   log likelihood = -36568.202  
Iteration 3:   log likelihood = -36568.092  
Iteration 4:   log likelihood = -36568.092  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36568.092
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.374914   .0164323   -83.67   0.000    -1.407121   -1.342708
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36621.211  
Iteration 2:   log likelihood = -36563.489  
Iteration 3:   log likelihood = -36562.949  
Iteration 4:   log likelihood = -36562.948  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36562.948
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.374885   .0164325   -83.67   0.000    -1.407092   -1.342678
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood =  -36621.24  
Iteration 2:   log likelihood =  -36553.58  
Iteration 3:   log likelihood = -36552.884  
Iteration 4:   log likelihood = -36552.883  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36552.883
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.374951   .0164327   -83.67   0.000    -1.407158   -1.342743
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36629.611  
Iteration 2:   log likelihood = -36549.731  
Iteration 3:   log likelihood = -36548.194  
Iteration 4:   log likelihood = -36548.193  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36548.193
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.375046   .0164331   -83.68   0.000    -1.407254   -1.342838
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36635.565  
Iteration 2:   log likelihood = -36548.214  
Iteration 3:   log likelihood = -36546.568  
Iteration 4:   log likelihood = -36546.567  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36546.567
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.375086   .0164332   -83.68   0.000    -1.407295   -1.342878
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36639.833  
Iteration 2:   log likelihood = -36547.774  
Iteration 3:   log likelihood = -36545.969  
Iteration 4:   log likelihood = -36545.968  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36545.968
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.375094   .0164332   -83.68   0.000    -1.407303   -1.342886
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36639.156  
Iteration 2:   log likelihood = -36547.008  
Iteration 3:   log likelihood = -36544.989  
Iteration 4:   log likelihood = -36544.988  

Fixed effects regression model                  Number of obs     =     13,067
Log likelihood = -36544.988
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |    -1.3751   .0164332   -83.68   0.000    -1.407308   -1.342891
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.7731  
Iteration 2:   log likelihood = -4136.1445  
Iteration 3:   log likelihood = -4117.4381  
Iteration 4:   log likelihood = -4117.4332  
Iteration 5:   log likelihood = -4117.4332  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4117.4332
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   -8.21126   .0472984  -173.61   0.000    -8.303963   -8.118557
------------------------------------------------------------------------------
 ***********
 Transition 5: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.7685  (not concave)
Iteration 2:   log likelihood = -4128.1201  
Iteration 3:   log likelihood = -4112.5744  
Iteration 4:   log likelihood = -4112.5564  
Iteration 5:   log likelihood = -4112.5564  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4112.5564
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.374663    .262225   -28.12   0.000    -7.888614   -6.860711
  log(gamma) |   -.122435   .0403042    -3.04   0.002    -.2014298   -.0434402
------------------------------------------------------------------------------
 ***********
 Transition 5: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -1.35e+156  
Iteration 1:   log likelihood = -203970.33  
Iteration 2:   log likelihood = -203970.33  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -203970.33
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -522.8688          .        .       .            .           .
       gamma |   .1028058          .        .       .            .           .
------------------------------------------------------------------------------
 ***********
 Transition 5: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -12739.194  (not concave)
Iteration 1:   log likelihood = -4672.2904  (not concave)
Iteration 2:   log likelihood = -4163.5913  
Iteration 3:   log likelihood = -4102.5164  
Iteration 4:   log likelihood = -4099.9898  
Iteration 5:   log likelihood = -4099.9825  
Iteration 6:   log likelihood = -4099.9825  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4099.9825
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.939653   .0687531   115.48   0.000     7.804899    8.074406
       dap:1 |  -.0185688   .0399142    -0.47   0.642    -.0967991    .0596616
------------------------------------------------------------------------------
 ***********
 Transition 5: family Logn (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -39955.065  (not concave)
Iteration 1:   log likelihood = -5250.4714  (not concave)
Iteration 2:   log likelihood = -4270.7581  (not concave)
Iteration 3:   log likelihood = -4148.9247  
Iteration 4:   log likelihood = -4106.6582  
Iteration 5:   log likelihood = -4090.4063  
Iteration 6:   log likelihood = -4090.3774  
Iteration 7:   log likelihood = -4090.3774  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4090.3774
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   8.037513   .0778121   103.29   0.000     7.885004    8.190022
       dap:1 |   .5751205    .036691    15.67   0.000     .5032074    .6470337
------------------------------------------------------------------------------
 ***********
 Transition 5: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -20451.895  (not concave)
Iteration 1:   log likelihood =  -5498.289  (not concave)
Iteration 2:   log likelihood =  -4122.316  
Iteration 3:   log likelihood = -4098.1896  
Iteration 4:   log likelihood = -4093.5198  
Iteration 5:   log likelihood = -4089.7253  
Iteration 6:   log likelihood = -4089.6399  
Iteration 7:   log likelihood = -4089.6399  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4089.6399
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.949772   .1103549    72.04   0.000      7.73348    8.166064
  log(sigma) |   .6444154    .064962     9.92   0.000     .5170921    .7717386
       kappa |  -.2146117   .1786737    -1.20   0.230    -.5648058    .1355824
------------------------------------------------------------------------------
 ***********
 Transition 5: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4086.9128  
Iteration 2:   log likelihood =  -4083.215  
Iteration 3:   log likelihood = -4083.2042  
Iteration 4:   log likelihood = -4083.2042  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4083.2042
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.569626   .0529254   -29.66   0.000    -1.673358   -1.465894
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood =  -4082.243  
Iteration 2:   log likelihood = -4078.0543  
Iteration 3:   log likelihood = -4078.0408  
Iteration 4:   log likelihood = -4078.0408  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4078.0408
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.568022   .0529324   -29.62   0.000    -1.671768   -1.464276
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4081.6583  
Iteration 2:   log likelihood = -4077.5102  
Iteration 3:   log likelihood = -4077.4963  
Iteration 4:   log likelihood = -4077.4963  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4077.4963
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.569425   .0529931   -29.62   0.000    -1.673289    -1.46556
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4081.3508  
Iteration 2:   log likelihood = -4077.1332  
Iteration 3:   log likelihood = -4077.1191  
Iteration 4:   log likelihood = -4077.1191  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4077.1191
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.570359   .0530306   -29.61   0.000    -1.674297   -1.466421
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4081.5724  
Iteration 2:   log likelihood = -4077.1854  
Iteration 3:   log likelihood = -4077.1703  
Iteration 4:   log likelihood = -4077.1703  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4077.1703
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.570391   .0530365   -29.61   0.000    -1.674341   -1.466442
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4082.0932  
Iteration 2:   log likelihood = -4077.1876  
Iteration 3:   log likelihood = -4077.1666  
Iteration 4:   log likelihood = -4077.1666  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4077.1666
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.570546   .0530436   -29.61   0.000     -1.67451   -1.466583
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4082.8284  
Iteration 2:   log likelihood = -4076.8473  
Iteration 3:   log likelihood = -4076.8004  
Iteration 4:   log likelihood = -4076.8004  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4076.8004
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.570626   .0530478   -29.61   0.000    -1.674598   -1.466654
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4083.7243  
Iteration 2:   log likelihood = -4077.0064  
Iteration 3:   log likelihood = -4076.9194  
Iteration 4:   log likelihood = -4076.9193  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood = -4076.9193
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.570449   .0530483   -29.60   0.000    -1.674421   -1.466476
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4083.2391  
Iteration 2:   log likelihood = -4076.7418  
Iteration 3:   log likelihood =  -4076.661  
Iteration 4:   log likelihood =  -4076.661  

Fixed effects regression model                  Number of obs     =      1,518
Log likelihood =  -4076.661
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.570464   .0530505   -29.60   0.000    -1.674441   -1.466487
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12237.288  
Iteration 2:   log likelihood = -12055.274  
Iteration 3:   log likelihood = -11991.346  
Iteration 4:   log likelihood = -11991.304  
Iteration 5:   log likelihood = -11991.304  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11991.304
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -8.188739   .0276818  -295.82   0.000    -8.242994   -8.134483
------------------------------------------------------------------------------
 ***********
 Transition 6: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12237.255  (not concave)
Iteration 2:   log likelihood = -12022.069  
Iteration 3:   log likelihood = -11966.751  
Iteration 4:   log likelihood =  -11957.91  
Iteration 5:   log likelihood = -11957.716  
Iteration 6:   log likelihood = -11957.716  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11957.716
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -6.931302   .1471891   -47.09   0.000    -7.219787   -6.642816
  log(gamma) |   -.188944   .0240381    -7.86   0.000    -.2360579   -.1418301
------------------------------------------------------------------------------
 ***********
 Transition 6: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -1.35e+157  
Iteration 1:   log likelihood = -592615.53  
Iteration 2:   log likelihood = -557187.29  (backed up)
Iteration 3:   log likelihood = -196602.55  (not concave)
Iteration 4:   log likelihood =  -191207.7  (not concave)
Iteration 5:   log likelihood = -188714.31  
Iteration 6:   log likelihood = -34318.431  (not concave)
Iteration 7:   log likelihood = -18464.802  
Iteration 8:   log likelihood =  -16960.04  
Iteration 9:   log likelihood = -12283.057  
Iteration 10:  log likelihood = -11904.623  
Iteration 11:  log likelihood = -11878.372  
Iteration 12:  log likelihood = -11878.359  
Iteration 13:  log likelihood = -11878.359  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11878.359
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.678571   .0414073  -185.44   0.000    -7.759728   -7.597414
       gamma |  -.0006774   .0000492   -13.76   0.000     -.000774   -.0005809
------------------------------------------------------------------------------
 ***********
 Transition 6: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -34906.759  (not concave)
Iteration 1:   log likelihood =  -13101.47  
Iteration 2:   log likelihood = -12476.598  
Iteration 3:   log likelihood = -11936.584  
Iteration 4:   log likelihood = -11917.402  
Iteration 5:   log likelihood = -11917.159  
Iteration 6:   log likelihood = -11917.159  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11917.159
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.941491   .0422043   188.17   0.000     7.858772     8.02421
       dap:1 |   .0423369   .0236271     1.79   0.073    -.0039713    .0886452
------------------------------------------------------------------------------
 ***********
 Transition 6: family Logn (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -109083.81  (not concave)
Iteration 1:   log likelihood = -15967.607  (not concave)
Iteration 2:   log likelihood = -13217.075  (not concave)
Iteration 3:   log likelihood = -12782.608  
Iteration 4:   log likelihood =  -12298.76  
Iteration 5:   log likelihood = -12188.585  
Iteration 6:   log likelihood = -11892.627  
Iteration 7:   log likelihood = -11876.917  
Iteration 8:   log likelihood = -11876.801  
Iteration 9:   log likelihood = -11876.801  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11876.801
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   8.019965   .0468108   171.33   0.000     7.928217    8.111712
       dap:1 |   .6134327   .0217757    28.17   0.000     .5707531    .6561122
------------------------------------------------------------------------------
 ***********
 Transition 6: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -56414.941  (not concave)
Iteration 1:   log likelihood =  -15530.33  (not concave)
Iteration 2:   log likelihood = -14335.309  (not concave)
Iteration 3:   log likelihood = -13427.209  (not concave)
Iteration 4:   log likelihood = -13342.288  (not concave)
Iteration 5:   log likelihood = -13206.476  (not concave)
Iteration 6:   log likelihood = -13152.563  (not concave)
Iteration 7:   log likelihood = -13131.066  (not concave)
Iteration 8:   log likelihood = -13128.919  (not concave)
Iteration 9:   log likelihood = -13128.812  (not concave)
Iteration 10:  log likelihood = -13128.769  (not concave)
Iteration 11:  log likelihood =   -13128.7  (not concave)
Iteration 12:  log likelihood = -13128.673  (not concave)
Iteration 13:  log likelihood =  -13128.67  (not concave)
Iteration 14:  log likelihood =  -13128.67  (not concave)
Iteration 15:  log likelihood = -13128.636  (not concave)
Iteration 16:  log likelihood = -13128.206  (not concave)
Iteration 17:  log likelihood = -11948.708  (not concave)
Iteration 18:  log likelihood = -11889.453  
Iteration 19:  log likelihood = -11875.917  
Iteration 20:  log likelihood = -11862.732  
Iteration 21:  log likelihood = -11862.523  
Iteration 22:  log likelihood = -11862.523  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11862.523
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.680476   .0864444    88.85   0.000     7.511048    7.849904
  log(sigma) |   .7644906   .0297669    25.68   0.000     .7061485    .8228327
       kappa |  -.6353047    .119132    -5.33   0.000    -.8687992   -.4018103
------------------------------------------------------------------------------
 ***********
 Transition 6: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11841.443  
Iteration 2:   log likelihood = -11837.882  
Iteration 3:   log likelihood = -11837.878  
Iteration 4:   log likelihood = -11837.878  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11837.878
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.432826   .0302165   -47.42   0.000    -1.492049   -1.373602
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11839.656  
Iteration 2:   log likelihood = -11832.202  
Iteration 3:   log likelihood = -11832.173  
Iteration 4:   log likelihood = -11832.173  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11832.173
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.429559   .0302069   -47.33   0.000    -1.488763   -1.370354
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11837.701  
Iteration 2:   log likelihood = -11828.471  
Iteration 3:   log likelihood = -11828.425  
Iteration 4:   log likelihood = -11828.425  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11828.425
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.430417    .030219   -47.34   0.000    -1.489645   -1.371189
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11843.482  
Iteration 2:   log likelihood = -11828.814  
Iteration 3:   log likelihood = -11828.592  
Iteration 4:   log likelihood = -11828.592  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11828.592
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.430767   .0302263   -47.34   0.000    -1.490009   -1.371524
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11842.198  
Iteration 2:   log likelihood = -11827.938  
Iteration 3:   log likelihood = -11827.698  
Iteration 4:   log likelihood = -11827.698  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11827.698
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.430485   .0302241   -47.33   0.000    -1.489723   -1.371247
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11844.011  
Iteration 2:   log likelihood = -11828.124  
Iteration 3:   log likelihood = -11827.824  
Iteration 4:   log likelihood = -11827.824  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11827.824
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.430557   .0302257   -47.33   0.000    -1.489798   -1.371315
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11844.739  
Iteration 2:   log likelihood = -11827.921  
Iteration 3:   log likelihood = -11827.508  
Iteration 4:   log likelihood = -11827.507  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11827.507
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.430653   .0302276   -47.33   0.000    -1.489898   -1.371408
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood =  -11845.18  
Iteration 2:   log likelihood = -11827.727  
Iteration 3:   log likelihood = -11827.254  
Iteration 4:   log likelihood = -11827.254  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11827.254
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.430777   .0302298   -47.33   0.000    -1.490026   -1.371528
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11847.002  
Iteration 2:   log likelihood = -11827.678  
Iteration 3:   log likelihood = -11826.995  
Iteration 4:   log likelihood = -11826.994  
Iteration 5:   log likelihood = -11826.994  

Fixed effects regression model                  Number of obs     =      4,046
Log likelihood = -11826.994
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.430883   .0302317   -47.33   0.000    -1.490136    -1.37163
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2874  
Iteration 2:   log likelihood = -1167.7255  
Iteration 3:   log likelihood = -1157.5297  
Iteration 4:   log likelihood = -1157.4944  
Iteration 5:   log likelihood = -1157.4944  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1157.4944
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -8.114129   .0887356   -91.44   0.000    -8.288048    -7.94021
------------------------------------------------------------------------------
 ***********
 Transition 7: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2861  (not concave)
Iteration 2:   log likelihood = -1158.9891  
Iteration 3:   log likelihood =  -1157.068  
Iteration 4:   log likelihood = -1156.2434  
Iteration 5:   log likelihood = -1156.2408  
Iteration 6:   log likelihood = -1156.2408  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1156.2408
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.336305   .4822333   -15.21   0.000    -8.281465   -6.391145
  log(gamma) |  -.1152085   .0746965    -1.54   0.123     -.261611     .031194
------------------------------------------------------------------------------
 ***********
 Transition 7: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -2.57e+139  
Iteration 1:   log likelihood = -59062.155  (not concave)
Iteration 2:   log likelihood = -54337.183  
Iteration 3:   log likelihood = -49068.638  (not concave)
Iteration 4:   log likelihood = -45430.433  
Iteration 5:   log likelihood =  -4454.123  
Iteration 6:   log likelihood = -1244.8497  
Iteration 7:   log likelihood = -1160.6338  
Iteration 8:   log likelihood = -1148.1455  
Iteration 9:   log likelihood = -1148.0769  
Iteration 10:  log likelihood = -1148.0769  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1148.0769
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.653176   .1312066   -58.33   0.000    -7.910336   -7.396016
       gamma |  -.0006996   .0001748    -4.00   0.000    -.0010422    -.000357
------------------------------------------------------------------------------
 ***********
 Transition 7: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -3642.5722  (not concave)
Iteration 1:   log likelihood = -1330.3869  (not concave)
Iteration 2:   log likelihood = -1177.5215  
Iteration 3:   log likelihood = -1153.4269  
Iteration 4:   log likelihood = -1151.5369  
Iteration 5:   log likelihood = -1151.5296  
Iteration 6:   log likelihood = -1151.5296  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1151.5296
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.822222   .1275565    61.32   0.000     7.572216    8.072229
       dap:1 |  -.0329798   .0739836    -0.45   0.656    -.1779849    .1120254
------------------------------------------------------------------------------
 ***********
 Transition 7: family Logn (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -11285.145  (not concave)
Iteration 1:   log likelihood = -1596.4932  (not concave)
Iteration 2:   log likelihood = -1275.1956  (not concave)
Iteration 3:   log likelihood = -1184.5257  
Iteration 4:   log likelihood = -1176.6484  
Iteration 5:   log likelihood = -1146.9267  
Iteration 6:   log likelihood = -1146.1554  
Iteration 7:   log likelihood = -1146.1455  
Iteration 8:   log likelihood = -1146.1455  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1146.1455
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.889761   .1402572    56.25   0.000     7.614862     8.16466
       dap:1 |   .5323954   .0686529     7.75   0.000     .3978381    .6669527
------------------------------------------------------------------------------
 ***********
 Transition 7: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -5708.783  (not concave)
Iteration 1:   log likelihood = -1540.1445  (not concave)
Iteration 2:   log likelihood = -1145.9405  
Iteration 3:   log likelihood = -1142.0418  
Iteration 4:   log likelihood = -1141.2426  
Iteration 5:   log likelihood = -1141.2187  
Iteration 6:   log likelihood = -1141.2186  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1141.2186
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.048343   .3225377    21.85   0.000     6.416181    7.680506
  log(sigma) |   .7210656   .0667646    10.80   0.000     .5902094    .8519218
       kappa |  -1.426878   .4440655    -3.21   0.001    -2.297231   -.5565262
------------------------------------------------------------------------------
 ***********
 Transition 7: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1143.8012  
Iteration 2:   log likelihood = -1141.9509  
Iteration 3:   log likelihood = -1141.9453  
Iteration 4:   log likelihood = -1141.9453  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1141.9453
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.648552   .1018133   -16.19   0.000    -1.848103   -1.449002
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1143.3289  
Iteration 2:   log likelihood = -1141.4635  
Iteration 3:   log likelihood = -1141.4592  
Iteration 4:   log likelihood = -1141.4592  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1141.4592
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.647403   .1018295   -16.18   0.000    -1.846985   -1.447821
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1140.4857  
Iteration 2:   log likelihood =  -1138.166  
Iteration 3:   log likelihood = -1138.1562  
Iteration 4:   log likelihood = -1138.1562  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1138.1562
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.655406   .1022793   -16.19   0.000    -1.855869   -1.454942
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1140.7399  
Iteration 2:   log likelihood = -1138.2289  
Iteration 3:   log likelihood = -1138.2184  
Iteration 4:   log likelihood = -1138.2184  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1138.2184
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.656962   .1025448   -16.16   0.000    -1.857946   -1.455978
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1140.2429  
Iteration 2:   log likelihood = -1137.7331  
Iteration 3:   log likelihood = -1137.7096  
Iteration 4:   log likelihood = -1137.7096  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1137.7096
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   -1.65598   .1025306   -16.15   0.000    -1.856936   -1.455023
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1140.4697  
Iteration 2:   log likelihood = -1137.8737  
Iteration 3:   log likelihood = -1137.8417  
Iteration 4:   log likelihood = -1137.8417  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1137.8417
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.657243   .1026649   -16.14   0.000    -1.858462   -1.456023
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1139.2567  
Iteration 2:   log likelihood = -1135.9538  
Iteration 3:   log likelihood = -1135.9199  
Iteration 4:   log likelihood = -1135.9199  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1135.9199
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.660005   .1028937   -16.13   0.000    -1.861673   -1.458337
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood =  -1138.727  
Iteration 2:   log likelihood =  -1135.117  
Iteration 3:   log likelihood =  -1135.033  
Iteration 4:   log likelihood = -1135.0326  
Iteration 5:   log likelihood = -1135.0326  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1135.0326
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.659037   .1028697   -16.13   0.000    -1.860658   -1.457416
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1161.1936  
Iteration 2:   log likelihood = -1134.8283  
Iteration 3:   log likelihood = -1134.3875  
Iteration 4:   log likelihood = -1134.3854  
Iteration 5:   log likelihood = -1134.3854  

Fixed effects regression model                  Number of obs     =        447
Log likelihood = -1134.3854
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.655929   .1026879   -16.13   0.000    -1.857193   -1.454664
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family Exp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.3663  
Iteration 2:   log likelihood = -4097.7657  
Iteration 3:   log likelihood = -3997.8138  
Iteration 4:   log likelihood = -3997.7261  
Iteration 5:   log likelihood = -3997.7261  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3997.7261
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.943459   .0472984  -167.94   0.000    -8.036162   -7.850756
------------------------------------------------------------------------------
 ***********
 Transition 8: family Wei (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.3643  (not concave)
Iteration 2:   log likelihood = -4018.8263  (not concave)
Iteration 3:   log likelihood = -4003.2987  
Iteration 4:   log likelihood = -4002.0241  
Iteration 5:   log likelihood = -3996.2917  
Iteration 6:   log likelihood = -3996.1595  
Iteration 7:   log likelihood = -3996.1589  
Iteration 8:   log likelihood = -3996.1589  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3996.1589
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.464475   .2690363   -27.75   0.000    -7.991777   -6.937174
  log(gamma) |   -.069189    .039699    -1.74   0.081    -.1469976    .0086196
------------------------------------------------------------------------------
 ***********
 Transition 8: family Gomp (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -2.26e+150  
Iteration 1:   log likelihood = -205272.84  (not concave)
Iteration 2:   log likelihood = -188851.01  (not concave)
Iteration 3:   log likelihood = -165731.84  
Iteration 4:   log likelihood = -81435.192  (backed up)
Iteration 5:   log likelihood = -19436.822  (not concave)
Iteration 6:   log likelihood = -15943.586  
Iteration 7:   log likelihood = -6201.2403  
Iteration 8:   log likelihood = -4771.7344  
Iteration 9:   log likelihood = -4112.2522  
Iteration 10:  log likelihood = -3985.1877  
Iteration 11:  log likelihood = -3982.2227  
Iteration 12:  log likelihood = -3982.2131  
Iteration 13:  log likelihood = -3982.2131  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3982.2131
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -7.625616   .0714656  -106.70   0.000    -7.765686   -7.485546
       gamma |  -.0004547    .000086    -5.28   0.000    -.0006233    -.000286
------------------------------------------------------------------------------
 ***********
 Transition 8: family Logl (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -11159.579  (not concave)
Iteration 1:   log likelihood = -4280.8106  
Iteration 2:   log likelihood = -4085.5493  
Iteration 3:   log likelihood = -3985.1991  
Iteration 4:   log likelihood = -3981.8211  
Iteration 5:   log likelihood =  -3981.792  
Iteration 6:   log likelihood =  -3981.792  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood =  -3981.792
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.587852   .0617306   122.92   0.000     7.466863    7.708842
       dap:1 |  -.0970384   .0393547    -2.47   0.014    -.1741721   -.0199047
------------------------------------------------------------------------------
 ***********
 Transition 8: family Logn (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -33508.148  (not concave)
Iteration 1:   log likelihood = -5098.2359  (not concave)
Iteration 2:   log likelihood = -4249.1399  (not concave)
Iteration 3:   log likelihood =  -4117.432  
Iteration 4:   log likelihood = -4006.2992  
Iteration 5:   log likelihood = -3976.2203  
Iteration 6:   log likelihood = -3972.0093  
Iteration 7:   log likelihood = -3972.0017  
Iteration 8:   log likelihood = -3972.0017  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3972.0017
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   7.647244   .0683013   111.96   0.000     7.513376    7.781112
       dap:1 |   .4750636   .0361785    13.13   0.000     .4041551     .545972
------------------------------------------------------------------------------
 ***********
 Transition 8: family Ggam (intercept-only)
 ***********

Fitting full model:

Iteration 0:   log likelihood = -17179.086  (not concave)
Iteration 1:   log likelihood = -5014.9905  (not concave)
Iteration 2:   log likelihood = -4103.7093  (not concave)
Iteration 3:   log likelihood = -3974.4404  
Iteration 4:   log likelihood = -3971.0616  
Iteration 5:   log likelihood = -3971.0158  
Iteration 6:   log likelihood = -3971.0158  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3971.0158
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |    7.54235   .1044218    72.23   0.000     7.337687    7.747013
  log(sigma) |   .5414249   .0565982     9.57   0.000     .4304945    .6523554
       kappa |  -.2360047   .1683826    -1.40   0.161    -.5660284    .0940191
------------------------------------------------------------------------------
 ***********
 Transition 8: family RP2 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3965.4128  
Iteration 2:   log likelihood = -3965.1505  
Iteration 3:   log likelihood = -3965.1504  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3965.1504
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.470369   .0545246   -26.97   0.000    -1.577235   -1.363503
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP3 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3965.2607  
Iteration 2:   log likelihood = -3964.2148  
Iteration 3:   log likelihood = -3964.2125  
Iteration 4:   log likelihood = -3964.2125  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3964.2125
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   -1.46767   .0544955   -26.93   0.000    -1.574479   -1.360861
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP4 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3962.8739  
Iteration 2:   log likelihood = -3961.9389  
Iteration 3:   log likelihood = -3961.9371  
Iteration 4:   log likelihood = -3961.9371  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3961.9371
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.470263   .0545826   -26.94   0.000    -1.577242   -1.363283
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP5 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3964.5691  
Iteration 2:   log likelihood = -3961.9924  
Iteration 3:   log likelihood = -3961.9667  
Iteration 4:   log likelihood = -3961.9667  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3961.9667
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.470412   .0546097   -26.93   0.000    -1.577445   -1.363379
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP6 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood =  -3964.143  
Iteration 2:   log likelihood = -3961.8459  
Iteration 3:   log likelihood = -3961.8243  
Iteration 4:   log likelihood = -3961.8242  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3961.8242
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |   -1.47088   .0546277   -26.93   0.000    -1.577949   -1.363812
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP7 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3963.1935  
Iteration 2:   log likelihood = -3960.9127  
Iteration 3:   log likelihood =  -3960.888  
Iteration 4:   log likelihood = -3960.8879  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3960.8879
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.471453   .0546496   -26.93   0.000    -1.578564   -1.364342
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP8 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3963.2583  
Iteration 2:   log likelihood = -3960.4381  
Iteration 3:   log likelihood = -3960.3902  
Iteration 4:   log likelihood = -3960.3901  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3960.3901
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.472054    .054669   -26.93   0.000    -1.579203   -1.364904
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP9 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood =  -3963.704  
Iteration 2:   log likelihood = -3960.3761  
Iteration 3:   log likelihood = -3960.2943  
Iteration 4:   log likelihood = -3960.2942  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3960.2942
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.472159   .0546763   -26.92   0.000    -1.579322   -1.364995
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP10 (intercept-only)
 ***********
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3963.8901  
Iteration 2:   log likelihood =  -3960.073  
Iteration 3:   log likelihood = -3959.9367  
Iteration 4:   log likelihood = -3959.9363  

Fixed effects regression model                  Number of obs     =      1,305
Log likelihood = -3959.9363
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_time:       |            
       _cons |  -1.472342   .0546841   -26.92   0.000    -1.579521   -1.365164
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display

. 
. estwrite _all using "${pathdata2}parmodels_m_jun_22_corr3.sters", replace
(saving m1_exp)
(saving m1_weib)
(saving m1_gom)
(saving m1_logl)
(saving m1_logn)
(saving m1_ggam)
(saving m1_rp2)
(saving m1_rp3)
(saving m1_rp4)
(saving m1_rp5)
(saving m1_rp6)
(saving m1_rp7)
(saving m1_rp8)
(saving m1_rp9)
(saving m1_rp10)
(saving m2_exp)
(saving m2_weib)
(saving m2_gom)
(saving m2_logl)
(saving m2_logn)
(saving m2_ggam)
(saving m2_rp2)
(saving m2_rp3)
(saving m2_rp4)
(saving m2_rp5)
(saving m2_rp6)
(saving m2_rp7)
(saving m2_rp8)
(saving m2_rp9)
(saving m2_rp10)
(saving m3_exp)
(saving m3_weib)
(saving m3_gom)
(saving m3_logl)
(saving m3_logn)
(saving m3_ggam)
(saving m3_rp2)
(saving m3_rp3)
(saving m3_rp4)
(saving m3_rp5)
(saving m3_rp6)
(saving m3_rp7)
(saving m3_rp8)
(saving m3_rp9)
(saving m3_rp10)
(saving m4_exp)
(saving m4_weib)
(saving m4_gom)
(saving m4_logl)
(saving m4_logn)
(saving m4_ggam)
(saving m4_rp2)
(saving m4_rp3)
(saving m4_rp4)
(saving m4_rp5)
(saving m4_rp6)
(saving m4_rp7)
(saving m4_rp8)
(saving m4_rp9)
(saving m4_rp10)
(saving m5_exp)
(saving m5_weib)
(saving m5_gom)
(saving m5_logl)
(saving m5_logn)
(saving m5_ggam)
(saving m5_rp2)
(saving m5_rp3)
(saving m5_rp4)
(saving m5_rp5)
(saving m5_rp6)
(saving m5_rp7)
(saving m5_rp8)
(saving m5_rp9)
(saving m5_rp10)
(saving m6_exp)
(saving m6_weib)
(saving m6_gom)
(saving m6_logl)
(saving m6_logn)
(saving m6_ggam)
(saving m6_rp2)
(saving m6_rp3)
(saving m6_rp4)
(saving m6_rp5)
(saving m6_rp6)
(saving m6_rp7)
(saving m6_rp8)
(saving m6_rp9)
(saving m6_rp10)
(saving m7_exp)
(saving m7_weib)
(saving m7_gom)
(saving m7_logl)
(saving m7_logn)
(saving m7_ggam)
(saving m7_rp2)
(saving m7_rp3)
(saving m7_rp4)
(saving m7_rp5)
(saving m7_rp6)
(saving m7_rp7)
(saving m7_rp8)
(saving m7_rp9)
(saving m7_rp10)
(saving m8_exp)
(saving m8_weib)
(saving m8_gom)
(saving m8_logl)
(saving m8_logn)
(saving m8_ggam)
(saving m8_rp2)
(saving m8_rp3)
(saving m8_rp4)
(saving m8_rp5)
(saving m8_rp6)
(saving m8_rp7)
(saving m8_rp8)
(saving m8_rp9)
(saving m8_rp10)
(file C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/parmodels_m_jun_22_corr3.sters saved)

. *file:///G:/Mi%20unidad/Alvacast/SISTRAT%202019%20(github)/_supp_mstates/stata/1806.01615.pdf
. *rcs - restricted cubic splines on log hazard scale
. *rp - Royston-Parmar model (restricted cubic spline on log cumulative hazard scale)
. forvalues i = 1/8 {
  2.         qui count if _trans == `i' & _d == 1
  3.         // we count the amount of cases with the event in the strata
.         //we call the estimates stored, and the results...
.         estimates stat m`i'_*, n(`r(N)')
  4.         //we store in a matrix de survival
.         matrix stats_`i'_intonly=r(S)
  5. }

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m1_exp |      5,356          .  -45508.08       1   91018.17   91024.75
     m1_weib |      5,356          .  -45457.47       2   90918.94   90932.11
      m1_gom |      5,356          .   -2581047       0    5162094    5162094
     m1_logl |      5,356          .  -44614.98       2   89233.97   89247.14
     m1_logn |      5,356          .  -44614.98       2   89233.97   89247.14
     m1_ggam |      5,356          .  -44614.98       2   89233.97   89247.14
      m1_rp2 |      5,356          .  -43448.33       3   86902.67   86922.43
      m1_rp3 |      5,356          .  -41915.73       4   83839.46    83865.8
      m1_rp4 |      5,356          .   -41839.1       5   83688.19   83721.12
      m1_rp5 |      5,356          .     -41825       6   83662.01   83701.52
      m1_rp6 |      5,356          .  -41790.96       7   83595.91   83642.01
      m1_rp7 |      5,356          .   -41762.6       8   83541.19   83593.88
      m1_rp8 |      5,356          .  -41749.88       9   83517.77   83577.04
      m1_rp9 |      5,356          .  -41738.44      10   83496.88   83562.74
     m1_rp10 |      5,356          .  -41738.12      11   83498.24   83570.69
-----------------------------------------------------------------------------

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m2_exp |     13,067          .  -99371.69       1   198745.4   198752.9
     m2_weib |     13,067          .   -95723.4       2   191450.8   191465.8
      m2_gom |     13,067          .   -6554234       0   1.31e+07   1.31e+07
     m2_logl |     13,067          .  -94022.05       2   188048.1   188063.1
     m2_logn |     13,067          .  -94022.05       2   188048.1   188063.1
     m2_ggam |     13,067          .  -93687.15       3   187380.3   187402.7
      m2_rp2 |     13,067          .  -92570.89       3   185147.8   185170.2
      m2_rp3 |     13,067          .  -91662.46       4   183332.9   183362.8
      m2_rp4 |     13,067          .  -91652.64       5   183315.3   183352.7
      m2_rp5 |     13,067          .  -91648.74       6   183309.5   183354.3
      m2_rp6 |     13,067          .  -91645.13       7   183304.3   183356.6
      m2_rp7 |     13,067          .  -91641.38       8   183298.8   183358.6
      m2_rp8 |     13,067          .  -91638.44       9   183294.9   183362.2
      m2_rp9 |     13,067          .  -91635.22      10   183290.4   183365.2
     m2_rp10 |     13,067          .  -91630.85      11   183283.7     183366
-----------------------------------------------------------------------------

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m3_exp |      1,518          .  -14390.25       1    28782.5   28787.82
     m3_weib |      1,518          .  -13950.59       2   27905.17   27915.82
      m3_gom |      1,518          .  -694806.3       0    1389613    1389613
     m3_logl |      1,518          .   -13942.3       2   27888.61   27899.26
     m3_logn |      1,518          .  -13946.76       2   27897.53   27908.18
     m3_ggam |      1,518          .  -13940.56       3   27887.12    27903.1
      m3_rp2 |      1,518          .  -13943.59       3   27893.18   27909.16
      m3_rp3 |      1,518          .  -13939.52       4   27887.04   27908.34
      m3_rp4 |      1,518          .  -13937.66       5   27885.32   27911.95
      m3_rp5 |      1,518          .  -13935.54       6   27883.08   27915.04
      m3_rp6 |      1,518          .  -13930.94       7   27875.88   27913.15
      m3_rp7 |      1,518          .  -13926.55       8   27869.11   27911.71
      m3_rp8 |      1,518          .  -13924.29       9   27866.58   27914.51
      m3_rp9 |      1,518          .  -13921.31      10   27862.62   27915.87
     m3_rp10 |      1,518          .  -13918.66      11   27859.32   27917.89
-----------------------------------------------------------------------------

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m4_exp |      4,046          .  -38100.87       1   76203.73   76210.04
     m4_weib |      4,046          .  -36658.93       2   73321.87   73334.48
      m4_gom |      4,046          .   -1883811       0    3767622    3767622
     m4_logl |      4,046          .  -36613.41       2   73230.82   73243.43
     m4_logn |      4,046          .  -36573.94       2   73151.88   73164.49
     m4_ggam |      4,046          .  -36573.94       2   73151.88   73164.49
      m4_rp2 |      4,046          .  -36583.44       3   73172.89   73191.81
      m4_rp3 |      4,046          .  -36569.01       4   73146.03   73171.25
      m4_rp4 |      4,046          .  -36568.09       5   73146.18   73177.71
      m4_rp5 |      4,046          .  -36562.95       6    73137.9   73175.73
      m4_rp6 |      4,046          .  -36552.88       7   73119.77    73163.9
      m4_rp7 |      4,046          .  -36548.19       8   73112.39   73162.83
      m4_rp8 |      4,046          .  -36546.57       9   73111.13   73167.88
      m4_rp9 |      4,046          .  -36545.97      10   73111.94   73174.99
     m4_rp10 |      4,046          .  -36544.99      11   73111.98   73181.34
-----------------------------------------------------------------------------

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m5_exp |        447          .  -4117.433       1   8236.866   8240.969
     m5_weib |        447          .  -4112.556       2   8229.113   8237.318
      m5_gom |        447          .  -203970.3       0   407940.7   407940.7
     m5_logl |        447          .  -4099.983       2   8203.965    8212.17
     m5_logn |        447          .  -4090.377       2   8184.755    8192.96
     m5_ggam |        447          .   -4089.64       3    8185.28   8197.587
      m5_rp2 |        447          .  -4083.204       3   8172.408   8184.716
      m5_rp3 |        447          .  -4078.041       4   8164.082   8180.492
      m5_rp4 |        447          .  -4077.496       5   8164.993   8185.505
      m5_rp5 |        447          .  -4077.119       6   8166.238   8190.854
      m5_rp6 |        447          .   -4077.17       7   8168.341   8197.058
      m5_rp7 |        447          .  -4077.167       8   8170.333   8203.154
      m5_rp8 |        447          .    -4076.8       9   8171.601   8208.524
      m5_rp9 |        447          .  -4076.919      10   8173.839   8214.864
     m5_rp10 |        447          .  -4076.661      11   8175.322    8220.45
-----------------------------------------------------------------------------

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m6_exp |      1,305          .   -11991.3       1   23984.61   23989.78
     m6_weib |      1,305          .  -11957.72       2   23919.43   23929.78
      m6_gom |      1,305          .  -11878.36       2   23760.72   23771.07
     m6_logl |      1,305          .  -11917.16       2   23838.32   23848.67
     m6_logn |      1,305          .   -11876.8       2    23757.6   23767.95
     m6_ggam |      1,305          .  -11862.52       3   23731.05   23746.57
      m6_rp2 |      1,305          .  -11837.88       3   23681.76   23697.28
      m6_rp3 |      1,305          .  -11832.17       4   23672.35   23693.04
      m6_rp4 |      1,305          .  -11828.42       5   23666.85   23692.72
      m6_rp5 |      1,305          .  -11828.59       6   23669.18   23700.23
      m6_rp6 |      1,305          .   -11827.7       7    23669.4   23705.61
      m6_rp7 |      1,305          .  -11827.82       8   23671.65   23713.04
      m6_rp8 |      1,305          .  -11827.51       9   23673.01   23719.58
      m6_rp9 |      1,305          .  -11827.25      10   23674.51   23726.25
     m6_rp10 |      1,305          .  -11826.99      11   23675.99    23732.9
-----------------------------------------------------------------------------

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m7_exp |        127          .  -1157.494       1   2316.989   2319.833
     m7_weib |        127          .  -1156.241       2   2316.482    2322.17
      m7_gom |        127          .  -1148.077       2   2300.154   2305.842
     m7_logl |        127          .   -1151.53       2   2307.059   2312.748
     m7_logn |        127          .  -1146.146       2   2296.291   2301.979
     m7_ggam |        127          .  -1141.219       3   2288.437    2296.97
      m7_rp2 |        127          .  -1141.945       3   2289.891   2298.423
      m7_rp3 |        127          .  -1141.459       4   2290.918   2302.295
      m7_rp4 |        127          .  -1138.156       5   2286.312   2300.533
      m7_rp5 |        127          .  -1138.218       6   2288.437   2305.502
      m7_rp6 |        127          .   -1137.71       7   2289.419   2309.328
      m7_rp7 |        127          .  -1137.842       8   2291.683   2314.437
      m7_rp8 |        127          .   -1135.92       9    2289.84   2315.437
      m7_rp9 |        127          .  -1135.033      10   2290.065   2318.507
     m7_rp10 |        127          .  -1134.385      11   2290.771   2322.057
-----------------------------------------------------------------------------

Akaike's information criterion and Bayesian information criterion

-----------------------------------------------------------------------------
       Model |          N   ll(null)  ll(model)      df        AIC        BIC
-------------+---------------------------------------------------------------
      m8_exp |        447          .  -3997.726       1   7997.452   8001.555
     m8_weib |        447          .  -3996.159       2   7996.318   8004.523
      m8_gom |        447          .  -3982.213       2   7968.426   7976.631
     m8_logl |        447          .  -3981.792       2   7967.584   7975.789
     m8_logn |        447          .  -3972.002       2   7948.003   7956.209
     m8_ggam |        447          .  -3971.016       3   7948.032   7960.339
      m8_rp2 |        447          .   -3965.15       3   7936.301   7948.609
      m8_rp3 |        447          .  -3964.213       4   7936.425   7952.835
      m8_rp4 |        447          .  -3961.937       5   7933.874   7954.387
      m8_rp5 |        447          .  -3961.967       6   7935.933   7960.549
      m8_rp6 |        447          .  -3961.824       7   7937.648   7966.366
      m8_rp7 |        447          .  -3960.888       8   7937.776   7970.596
      m8_rp8 |        447          .   -3960.39       9    7938.78   7975.703
      m8_rp9 |        447          .  -3960.294      10   7940.588   7981.614
     m8_rp10 |        447          .  -3959.936      11   7941.873   7987.001
-----------------------------------------------------------------------------

. 
. estimates clear

. 
. ** to order AICs
. *https://www.statalist.org/forums/forum/general-stata-discussion/general/1665263-sorting-matrix-including-rownames
. mata :
------------------------------------------------- mata (type end to exit) -----------------------------------------------------------------
: 
: void st_sort_matrix(
>     string scalar    matname, 
>     real   rowvector columns
>     )
> {
>     string matrix   rownames
>     real  colvector sort_order
>     
>     rownames = st_matrixrowstripe(matname)
>     sort_order = order(st_matrix(matname), columns)
>     st_replacematrix(matname, st_matrix(matname)[sort_order,])
>     st_matrixrowstripe(matname, rownames[sort_order,])
> }

: 
: end
-------------------------------------------------------------------------------------------------------------------------------------------

. 
. mata : st_sort_matrix("stats_1_intonly", 5)

. mata : st_sort_matrix("stats_2_intonly", 5)

. mata : st_sort_matrix("stats_3_intonly", 5)

. mata : st_sort_matrix("stats_4_intonly", 5)

. mata : st_sort_matrix("stats_5_intonly", 5)

. mata : st_sort_matrix("stats_6_intonly", 5)

. mata : st_sort_matrix("stats_7_intonly", 5)

. mata : st_sort_matrix("stats_8_intonly", 5)

. 
. matrix comb_intonly = (stats_1_intonly \ stats_2_intonly \ stats_3_intonly \ stats_4_intonly \ stats_5_intonly \ stats_6_intonly \ stats_
> 7_intonly \ stats_8_intonly)

. esttab matrix(comb_intonly) using "${pathdata2}testreg_aic_jun_22_corr3.csv", replace
file C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/testreg_aic_jun_22_corr3.csv is read-only; cannot be
    modified or erased
r(608);

. esttab matrix(comb_intonly) using "${pathdata2}testreg_aic_jun_22_corr3.html", replace
(output written to C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/testreg_aic_jun_22_corr3.html)

. 

comb_intonly
N ll0 ll df AIC BIC

m1_rp9 5356 . -41738.44 10 83496.88 83562.74
m1_rp10 5356 . -41738.12 11 83498.24 83570.69
m1_rp8 5356 . -41749.88 9 83517.77 83577.04
m1_rp7 5356 . -41762.6 8 83541.19 83593.88
m1_rp6 5356 . -41790.96 7 83595.91 83642.01
m1_rp5 5356 . -41825 6 83662.01 83701.52
m1_rp4 5356 . -41839.1 5 83688.19 83721.12
m1_rp3 5356 . -41915.73 4 83839.46 83865.8
m1_rp2 5356 . -43448.33 3 86902.67 86922.43
m1_ggam 5356 . -44614.98 2 89233.97 89247.14
m1_logl 5356 . -44614.98 2 89233.97 89247.14
m1_logn 5356 . -44614.98 2 89233.97 89247.14
m1_weib 5356 . -45457.47 2 90918.94 90932.11
m1_exp 5356 . -45508.08 1 91018.17 91024.75
m1_gom 5356 . -2581047 0 5162094 5162094
m2_rp10 13067 . -91630.85 11 183283.7 183366
m2_rp9 13067 . -91635.22 10 183290.4 183365.2
m2_rp8 13067 . -91638.44 9 183294.9 183362.2
m2_rp7 13067 . -91641.38 8 183298.8 183358.6
m2_rp6 13067 . -91645.13 7 183304.3 183356.6
m2_rp5 13067 . -91648.74 6 183309.5 183354.3
m2_rp4 13067 . -91652.64 5 183315.3 183352.7
m2_rp3 13067 . -91662.46 4 183332.9 183362.8
m2_rp2 13067 . -92570.89 3 185147.8 185170.2
m2_ggam 13067 . -93687.15 3 187380.3 187402.7
m2_logl 13067 . -94022.05 2 188048.1 188063.1
m2_logn 13067 . -94022.05 2 188048.1 188063.1
m2_weib 13067 . -95723.4 2 191450.8 191465.8
m2_exp 13067 . -99371.69 1 198745.4 198752.9
m2_gom 13067 . -6554234 0 1.31e+07 1.31e+07
m3_rp10 1518 . -13918.66 11 27859.32 27917.89
m3_rp9 1518 . -13921.31 10 27862.62 27915.87
m3_rp8 1518 . -13924.29 9 27866.58 27914.51
m3_rp7 1518 . -13926.55 8 27869.11 27911.71
m3_rp6 1518 . -13930.94 7 27875.88 27913.15
m3_rp5 1518 . -13935.54 6 27883.08 27915.04
m3_rp4 1518 . -13937.66 5 27885.32 27911.95
m3_rp3 1518 . -13939.52 4 27887.04 27908.34
m3_ggam 1518 . -13940.56 3 27887.12 27903.1
m3_logl 1518 . -13942.3 2 27888.61 27899.26
m3_rp2 1518 . -13943.59 3 27893.18 27909.16
m3_logn 1518 . -13946.76 2 27897.53 27908.18
m3_weib 1518 . -13950.59 2 27905.17 27915.82
m3_exp 1518 . -14390.25 1 28782.5 28787.82
m3_gom 1518 . -694806.3 0 1389613 1389613
m4_rp8 4046 . -36546.57 9 73111.13 73167.88
m4_rp9 4046 . -36545.97 10 73111.94 73174.99
m4_rp10 4046 . -36544.99 11 73111.98 73181.34
m4_rp7 4046 . -36548.19 8 73112.39 73162.83
m4_rp6 4046 . -36552.88 7 73119.77 73163.9
m4_rp5 4046 . -36562.95 6 73137.9 73175.73
m4_rp3 4046 . -36569.01 4 73146.03 73171.25
m4_rp4 4046 . -36568.09 5 73146.18 73177.71
m4_logn 4046 . -36573.94 2 73151.88 73164.49
m4_ggam 4046 . -36573.94 2 73151.88 73164.49
m4_rp2 4046 . -36583.44 3 73172.89 73191.81
m4_logl 4046 . -36613.41 2 73230.82 73243.43
m4_weib 4046 . -36658.93 2 73321.87 73334.48
m4_exp 4046 . -38100.87 1 76203.73 76210.04
m4_gom 4046 . -1883811 0 3767622 3767622
m5_rp3 447 . -4078.041 4 8164.082 8180.492
m5_rp4 447 . -4077.496 5 8164.993 8185.505
m5_rp5 447 . -4077.119 6 8166.238 8190.854
m5_rp6 447 . -4077.17 7 8168.341 8197.058
m5_rp7 447 . -4077.167 8 8170.333 8203.154
m5_rp8 447 . -4076.8 9 8171.601 8208.524
m5_rp2 447 . -4083.204 3 8172.408 8184.716
m5_rp9 447 . -4076.919 10 8173.839 8214.864
m5_rp10 447 . -4076.661 11 8175.322 8220.45
m5_logn 447 . -4090.377 2 8184.755 8192.96
m5_ggam 447 . -4089.64 3 8185.28 8197.587
m5_logl 447 . -4099.983 2 8203.965 8212.17
m5_weib 447 . -4112.556 2 8229.113 8237.318
m5_exp 447 . -4117.433 1 8236.866 8240.969
m5_gom 447 . -203970.3 0 407940.7 407940.7
m6_rp4 1305 . -11828.42 5 23666.85 23692.72
m6_rp5 1305 . -11828.59 6 23669.18 23700.23
m6_rp6 1305 . -11827.7 7 23669.4 23705.61
m6_rp7 1305 . -11827.82 8 23671.65 23713.04
m6_rp3 1305 . -11832.17 4 23672.35 23693.04
m6_rp8 1305 . -11827.51 9 23673.01 23719.58
m6_rp9 1305 . -11827.25 10 23674.51 23726.25
m6_rp10 1305 . -11826.99 11 23675.99 23732.9
m6_rp2 1305 . -11837.88 3 23681.76 23697.28
m6_ggam 1305 . -11862.52 3 23731.05 23746.57
m6_logn 1305 . -11876.8 2 23757.6 23767.95
m6_gom 1305 . -11878.36 2 23760.72 23771.07
m6_logl 1305 . -11917.16 2 23838.32 23848.67
m6_weib 1305 . -11957.72 2 23919.43 23929.78
m6_exp 1305 . -11991.3 1 23984.61 23989.78
m7_rp4 127 . -1138.156 5 2286.312 2300.533
m7_rp5 127 . -1138.218 6 2288.437 2305.502
m7_ggam 127 . -1141.219 3 2288.437 2296.97
m7_rp6 127 . -1137.71 7 2289.419 2309.328
m7_rp8 127 . -1135.92 9 2289.84 2315.437
m7_rp2 127 . -1141.945 3 2289.891 2298.423
m7_rp9 127 . -1135.033 10 2290.065 2318.507
m7_rp10 127 . -1134.385 11 2290.771 2322.057
m7_rp3 127 . -1141.459 4 2290.918 2302.295
m7_rp7 127 . -1137.842 8 2291.683 2314.437
m7_logn 127 . -1146.146 2 2296.291 2301.979
m7_gom 127 . -1148.077 2 2300.154 2305.842
m7_logl 127 . -1151.53 2 2307.059 2312.748
m7_weib 127 . -1156.241 2 2316.482 2322.17
m7_exp 127 . -1157.494 1 2316.989 2319.833
m8_rp4 447 . -3961.937 5 7933.874 7954.387
m8_rp5 447 . -3961.967 6 7935.933 7960.549
m8_rp2 447 . -3965.15 3 7936.301 7948.609
m8_rp3 447 . -3964.213 4 7936.425 7952.835
m8_rp6 447 . -3961.824 7 7937.648 7966.366
m8_rp7 447 . -3960.888 8 7937.776 7970.596
m8_rp8 447 . -3960.39 9 7938.78 7975.703
m8_rp9 447 . -3960.294 10 7940.588 7981.614
m8_rp10 447 . -3959.936 11 7941.873 7987.001
m8_logn 447 . -3972.002 2 7948.003 7956.209
m8_ggam 447 . -3971.016 3 7948.032 7960.339
m8_logl 447 . -3981.792 2 7967.584 7975.789
m8_gom 447 . -3982.213 2 7968.426 7976.631
m8_weib 447 . -3996.159 2 7996.318 8004.523
m8_exp 447 . -3997.726 1 7997.452 8001.555

In case of the more flexible parametric models (non-standard), we selected the models that showed the best trade-off between lower complexity and better fit, and this is why we also considered the BIC. If a model with less parameters had greater or equal AIC (or differences lower than 2) but also had better BIC (<=2), we favoured the model with less parameters.

With covariates

Posteriorly, we compared models by adding the setting at baseline, with the outcome of previous treatments (lagged treatment completion, in 0/1 format) as users pass through each transition. Equally, we added the time of arrival as a covariate to each transition (excluding the first). We saved the estimates in `parmodels_m2_jun_22_corr3’.

. set graphics off

. 
. global sim 1e5 //5e1 1e5 

. global boots 1e3 //5e1 2e3 

. 
. set graphics on

. foreach num of numlist 1/8 {
  2. gen td_`num'=TD_`num'
  3. replace td_`num'=0 if _from>`num'|_from<`num'   
  4. }
TD_1 not found
r(111);

. * similares a los TD.1 en stata que son transition specific covariates. 
. local stname `" "tipo_de_plan_res_1 " "tipo_de_plan_res_1 " "tipo_de_plan_res_1 _start" "tipo_de_plan_res_1 _start" "tipo_de_plan_res_1 _
> start" "tipo_de_plan_res_1 _start" "tipo_de_plan_res_1 _start" "tipo_de_plan_res_1 _start" "' 

. forvalues i = 1/8 {
  2.         gettoken covs stname : stname 
  3.         // Cox w/tvc
.         forvalues j=1/7 {
  4.                 di in yellow "{bf: ***********}"
  5.                 di in yellow "{bf: Transition `i': family Cox tvc `j'}"
  6.                 di in yellow "{bf: ***********}"
  7.                 set seed 2125
  8.                 qui cap noi stmerlin `covs' if _trans==`i', dist(exponential) tvc(tipo_de_plan_res_1) dftvc(`j')
  9.                 estimates store m2_`i'_cox`j'   
 10.         }
 11.         // Exponential
.         di in yellow "{bf: ***********}"
 12.         di in yellow "{bf: Transition `i': family Exp}"
 13.         di in yellow "{bf: ***********}"
 14.         set seed 2125
 15.         qui cap noi stmerlin `covs' if _trans==`i', dist(exponential)
 16.         estimates store m2_`i'_exp
 17. 
.         // Weibull
.         di in yellow "{bf: ***********}"
 18.         di in yellow "{bf: Transition `i': family Wei}"
 19.         di in yellow "{bf: ***********}"
 20.         set seed 2125
 21.         qui cap noi stmerlin `covs' if _trans==`i', dist(weibull)
 22.         //qui cap noi merlin (_time `covs' if _trans == `i', family(weibull, fail(_status)))
.         estimates store m2_`i'_weib
 23. 
.         // Gompertz
.         di in yellow "{bf: ***********}"
 24.         di in yellow "{bf: Transition `i': family Gomp}"
 25.         di in yellow "{bf: ***********}"
 26.         set seed 2125
 27.         qui cap noi stmerlin `covs' if _trans==`i', dist(gompertz)
 28.         //qui cap noi merlin (_time `covs' if _trans == `i', family(gompertz, fail(_status)))
.         estimates store m2_`i'_gom
 29. 
.         // Log logistic
.         di in yellow "{bf: ***********}"
 30.         di in yellow "{bf: Transition `i': family Logl}"
 31.         di in yellow "{bf: ***********}"
 32.         set seed 2125
 33.         qui cap noi stmerlin `covs' if _trans==`i', dist(loglogistic)
 34.         //qui cap noi merlin (_time `covs' if _trans == `i', family(loglogistic, fail(_status)))
.         estimates store m2_`i'_logl
 35. 
.         // Log normal
.         di in yellow "{bf: ***********}"
 36.         di in yellow "{bf: Transition `i': family Logn}"
 37.         di in yellow "{bf: ***********}"
 38.         set seed 2125
 39.         qui cap noi stmerlin `covs' if _trans==`i', dist(lognormal)
 40.         //qui cap noi merlin (_time `covs' if _trans == `i', family(lognormal, fail(_status)))
.         estimates store m2_`i'_logn
 41. 
.         // Generalised gamma
.         di in yellow "{bf: ***********}"
 42.         di in yellow "{bf: Transition `i': family Ggam}"
 43.         di in yellow "{bf: ***********}"
 44.         set seed 2125
 45.         qui cap noi stmerlin `covs' if _trans==`i', dist(ggamma)
 46.         //qui cap noi merlin (_time `covs' if _trans == `i', family(ggamma, fail(_status)))
.         estimates store m2_`i'_ggam
 47. 
.         // Royston Parmar models
.         forvalues j=1/10 {
 48.                 di in yellow "{bf: ***********}"
 49.                 di in yellow "{bf: Transition `i': family RP`j'}"
 50.                 di in yellow "{bf: ***********}"
 51.                 set seed 2125
 52.                 qui cap noi stmerlin `covs' if _trans == `i', dist(rp) df(`j')
 53.                 //qui cap noi merlin (_time `covs' if _trans == `i', family(rp, df(`j') fail(_status)))
.                 estimates store m2_`i'_rp`j'
 54.                 *estimates save "${pathdata2}parmodels.ster", append    
.         }       
 55. }
 ***********
 Transition 1: family Cox tvc 1
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_1

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48862.121  
Iteration 2:   log likelihood = -46170.516  
Iteration 3:   log likelihood = -45327.517  
Iteration 4:   log likelihood = -45297.538  
Iteration 5:   log likelihood =  -45297.35  
Iteration 6:   log likelihood =  -45297.35  

Survival model                                  Number of obs     =     22,452
Log likelihood =  -45297.35
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4774472   .0283058    16.87   0.000     .4219688    .5329256
tipo_de_pl~) |   -.213188    .014054   -15.17   0.000    -.2407334   -.1856426
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Cox tvc 2
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_2

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48855.422  
Iteration 2:   log likelihood = -47049.848  
Iteration 3:   log likelihood = -44462.851  
Iteration 4:   log likelihood = -44414.389  
Iteration 5:   log likelihood = -44413.928  
Iteration 6:   log likelihood = -44413.928  

Survival model                                  Number of obs     =     22,452
Log likelihood = -44413.928
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .3515283   .0319715    11.00   0.000     .2888652    .4141913
tipo_de_pl~1 |   .2955211    .034592     8.54   0.000     .2277221      .36332
tipo_de_pl~2 |   1.288213   .0414974    31.04   0.000     1.206879    1.369546
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Cox tvc 3
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_3

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood =  -48848.29  
Iteration 2:   log likelihood = -44117.932  
Iteration 3:   log likelihood = -43313.026  
Iteration 4:   log likelihood = -43049.824  
Iteration 5:   log likelihood = -43025.992  
Iteration 6:   log likelihood = -43025.672  
Iteration 7:   log likelihood = -43025.671  

Survival model                                  Number of obs     =     22,452
Log likelihood = -43025.671
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.4161361   .0469323    -8.87   0.000    -.5081217   -.3241505
tipo_de_pl~1 |   -1.42824   .0586697   -24.34   0.000     -1.54323   -1.313249
tipo_de_pl~2 |   1.914039   .0597472    32.04   0.000     1.796936    2.031141
tipo_de_pl~3 |   1.940294   .0493968    39.28   0.000     1.843478     2.03711
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Cox tvc 4
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_4

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48835.955  
Iteration 2:   log likelihood =  -45026.63  
Iteration 3:   log likelihood = -44620.007  
Iteration 4:   log likelihood = -43010.962  
Iteration 5:   log likelihood = -42986.681  
Iteration 6:   log likelihood = -42985.775  
Iteration 7:   log likelihood = -42985.775  

Survival model                                  Number of obs     =     22,452
Log likelihood = -42985.775
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2293397   .0488522    -4.69   0.000    -.3250883    -.133591
tipo_de_pl~1 |  -.9302507   .0765392   -12.15   0.000    -1.080265   -.7802366
tipo_de_pl~2 |   1.469179   .0711059    20.66   0.000     1.329814    1.608544
tipo_de_pl~3 |   1.641933   .0584662    28.08   0.000     1.527341    1.756525
tipo_de_pl~4 |  -.0586349   .0258773    -2.27   0.023    -.1093535   -.0079163
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Cox tvc 5
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_5

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48834.229  
Iteration 2:   log likelihood =  -45020.68  
Iteration 3:   log likelihood = -43419.541  
Iteration 4:   log likelihood = -43021.097  
Iteration 5:   log likelihood =  -42978.66  
Iteration 6:   log likelihood = -42977.137  
Iteration 7:   log likelihood = -42977.134  

Survival model                                  Number of obs     =     22,452
Log likelihood = -42977.134
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2640888   .0566238    -4.66   0.000    -.3750694   -.1531082
tipo_de_pl~1 |  -.9550363   .0897454   -10.64   0.000    -1.130934   -.7791385
tipo_de_pl~2 |   1.508821   .0878889    17.17   0.000     1.336562     1.68108
tipo_de_pl~3 |   1.708355   .0734474    23.26   0.000       1.5644    1.852309
tipo_de_pl~4 |    .048596    .032267     1.51   0.132    -.0146462    .1118381
tipo_de_pl~5 |   .0110113   .0207757     0.53   0.596    -.0297083    .0517308
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Cox tvc 6
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_6

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48834.182  
Iteration 2:   log likelihood = -44982.284  
Iteration 3:   log likelihood = -43417.348  
Iteration 4:   log likelihood = -43008.917  
Iteration 5:   log likelihood = -42951.278  
Iteration 6:   log likelihood = -42947.261  
Iteration 7:   log likelihood = -42947.232  
Iteration 8:   log likelihood = -42947.232  

Survival model                                  Number of obs     =     22,452
Log likelihood = -42947.232
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1781968   .0540665    -3.30   0.001    -.2841652   -.0722285
tipo_de_pl~1 |  -.7128822   .0862874    -8.26   0.000    -.8820025   -.5437619
tipo_de_pl~2 |   1.317965   .0818696    16.10   0.000     1.157504    1.478426
tipo_de_pl~3 |   1.562301   .0693562    22.53   0.000     1.426365    1.698236
tipo_de_pl~4 |  -.0009505   .0345723    -0.03   0.978    -.0687109    .0668099
tipo_de_pl~5 |   .0001884   .0220851     0.01   0.993    -.0430975    .0434743
tipo_de_pl~6 |  -.1020949   .0170457    -5.99   0.000    -.1355038   -.0686861
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Cox tvc 7
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_7

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48834.128  
Iteration 2:   log likelihood = -45470.954  
Iteration 3:   log likelihood = -43513.076  
Iteration 4:   log likelihood = -43016.458  
Iteration 5:   log likelihood = -42948.005  
Iteration 6:   log likelihood = -42942.807  
Iteration 7:   log likelihood = -42942.799  
Iteration 8:   log likelihood = -42942.799  

Survival model                                  Number of obs     =     22,452
Log likelihood = -42942.799
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2388888   .0605014    -3.95   0.000    -.3574693   -.1203083
tipo_de_pl~1 |  -.7975654   .0999104    -7.98   0.000    -.9933861   -.6017447
tipo_de_pl~2 |   1.419594    .095752    14.83   0.000     1.231923    1.607264
tipo_de_pl~3 |   1.671304   .0812664    20.57   0.000     1.512025    1.830583
tipo_de_pl~4 |   .0916952   .0404811     2.27   0.024     .0123537    .1710367
tipo_de_pl~5 |   .0638748   .0265938     2.40   0.016      .011752    .1159976
tipo_de_pl~6 |  -.0808919   .0195828    -4.13   0.000    -.1192734   -.0425103
tipo_de_pl~7 |  -.0024289   .0174055    -0.14   0.889    -.0365431    .0316852
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48863.469  
Iteration 2:   log likelihood = -45572.357  
Iteration 3:   log likelihood = -45405.178  
Iteration 4:   log likelihood = -45404.921  
Iteration 5:   log likelihood = -45404.921  

Survival model                                  Number of obs     =     22,452
Log likelihood = -45404.921
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .3991252   .0281436    14.18   0.000     .3439647    .4542857
       _cons |  -7.724649   .0221512  -348.72   0.000    -7.768064   -7.681233
------------------------------------------------------------------------------
 ***********
 Transition 1: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -48863.301  (not concave)
Iteration 2:   log likelihood = -45878.688  
Iteration 3:   log likelihood =  -45426.84  
Iteration 4:   log likelihood = -45375.499  
Iteration 5:   log likelihood = -45348.135  
Iteration 6:   log likelihood = -45347.919  
Iteration 7:   log likelihood = -45347.919  

Survival model                                  Number of obs     =     22,452
Log likelihood = -45347.919
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4115462   .0281679    14.61   0.000     .3563382    .4667543
       _cons |  -7.110885    .060031  -118.45   0.000    -7.228543   -6.993226
  log(gamma) |  -.0958829   .0092395   -10.38   0.000     -.113992   -.0777739
------------------------------------------------------------------------------
 ***********
 Transition 1: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -3.30e+182  
Iteration 1:   log likelihood = -2563606.5  (not concave)
Iteration 2:   log likelihood = -2165013.2  (not concave)
Iteration 3:   log likelihood = -2157553.4  (not concave)
Iteration 4:   log likelihood = -2141969.2  (not concave)
Iteration 5:   log likelihood = -2133944.2  (not concave)
Iteration 6:   log likelihood = -2118690.6  (not concave)
Iteration 7:   log likelihood = -2109333.1  (not concave)
Iteration 8:   log likelihood = -2068252.8  (not concave)
Iteration 9:   log likelihood = -2049744.5  (not concave)
Iteration 10:  log likelihood = -2029419.3  (not concave)
Iteration 11:  log likelihood = -2020212.6  (not concave)
Iteration 12:  log likelihood = -2007789.4  (not concave)
Iteration 13:  log likelihood = -989587.03  (not concave)
Iteration 14:  log likelihood = -910420.07  (not concave)
Iteration 15:  log likelihood = -444299.18  (not concave)
Iteration 16:  log likelihood =  -409978.1  (not concave)
Iteration 17:  log likelihood = -396339.63  (not concave)
Iteration 18:  log likelihood = -386688.83  (not concave)
Iteration 19:  log likelihood = -283501.24  (not concave)
Iteration 20:  log likelihood = -279719.22  (not concave)
Iteration 21:  log likelihood = -276375.26  (not concave)
Iteration 22:  log likelihood = -269104.16  (not concave)
Iteration 23:  log likelihood = -263149.28  (not concave)
Iteration 24:  log likelihood = -261946.99  (not concave)
Iteration 25:  log likelihood = -260653.61  (not concave)
Iteration 26:  log likelihood = -259387.35  (not concave)
Iteration 27:  log likelihood = -257158.41  (not concave)
Iteration 28:  log likelihood = -255648.23  (not concave)
Iteration 29:  log likelihood = -253996.83  (not concave)
Iteration 30:  log likelihood = -146752.23  (not concave)
Iteration 31:  log likelihood = -123273.09  (not concave)
Iteration 32:  log likelihood = -113416.05  (not concave)
Iteration 33:  log likelihood = -91073.209  (not concave)
Iteration 34:  log likelihood = -88269.249  (not concave)
Iteration 35:  log likelihood = -85954.863  (not concave)
Iteration 36:  log likelihood = -84720.052  (not concave)
Iteration 37:  log likelihood = -83337.738  (not concave)
Iteration 38:  log likelihood = -67378.462  
Iteration 39:  log likelihood = -51188.424  (backed up)
Iteration 40:  log likelihood = -45552.567  
Iteration 41:  log likelihood = -44560.013  
Iteration 42:  log likelihood = -44372.894  
Iteration 43:  log likelihood = -44369.466  
Iteration 44:  log likelihood = -44369.465  

Survival model                                  Number of obs     =     22,452
Log likelihood = -44369.465
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4500772   .0281606    15.98   0.000     .3948835     .505271
       _cons |   -7.18627   .0242669  -296.14   0.000    -7.233832   -7.138708
       gamma |  -.0011002   .0000307   -35.82   0.000    -.0011604     -.00104
------------------------------------------------------------------------------
 ***********
 Transition 1: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood =    -147792  (not concave)
Iteration 1:   log likelihood = -60852.797  (not concave)
Iteration 2:   log likelihood = -44487.512  
Iteration 3:   log likelihood = -44458.088  
Iteration 4:   log likelihood = -44457.801  
Iteration 5:   log likelihood = -44457.801  

Survival model                                  Number of obs     =     22,452
Log likelihood = -44457.801
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   -.487805   .0279083   -17.48   0.000    -.5425042   -.4331057
       _cons |   7.121298   .0238403   298.71   0.000     7.074571    7.168024
       dap:1 |  -.2570369   .0102917   -24.98   0.000    -.2772082   -.2368656
------------------------------------------------------------------------------
 ***********
 Transition 1: family Logn
 ***********

Fitting full model:

initial values not feasible

-> Starting values failed - trying zero vector

initial values not feasible
 ***********
 Transition 1: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood = -196859.24  (not concave)
Iteration 1:   log likelihood = -53353.042  (not concave)
Iteration 2:   log likelihood =  -48786.73  (not concave)
Iteration 3:   log likelihood = -45939.102  
Iteration 4:   log likelihood = -44612.703  
Iteration 5:   log likelihood = -44514.599  
Iteration 6:   log likelihood = -44513.032  
Iteration 7:   log likelihood = -44512.292  (backed up)
Iteration 8:   log likelihood = -44511.933  (backed up)
Iteration 9:   log likelihood = -44511.933  (backed up)
Iteration 10:  log likelihood =  -44511.93  (not concave)
Iteration 11:  log likelihood = -44494.154  
Iteration 12:  log likelihood = -44492.193  
Iteration 13:  log likelihood = -44492.174  (backed up)
Iteration 14:  log likelihood = -44492.165  (backed up)
Iteration 15:  log likelihood = -44492.164  (backed up)
Iteration 16:  log likelihood = -44492.164  (not concave)
Iteration 17:  log likelihood = -44492.164  
could not calculate numerical derivatives -- discontinuous region with missing values encountered
 ***********
 Transition 1: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood = -65897.595  
Iteration 1:   log likelihood = -45764.788  
Iteration 2:   log likelihood =  -45351.99  
Iteration 3:   log likelihood =  -45347.92  
Iteration 4:   log likelihood = -45347.919  

Survival model                                  Number of obs     =     22,452
Log likelihood = -45347.919
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4115464   .0281679    14.61   0.000     .3563383    .4667544
       _cons |  -2.370363   .0251903   -94.10   0.000    -2.419735   -2.320991
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -43983.219  
Iteration 2:   log likelihood =  -43438.32  
Iteration 3:   log likelihood = -43329.101  
Iteration 4:   log likelihood = -43327.758  
Iteration 5:   log likelihood =  -43327.75  
Iteration 6:   log likelihood =  -43327.75  

Survival model                                  Number of obs     =     22,452
Log likelihood =  -43327.75
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4313021   .0281507    15.32   0.000     .3761278    .4864764
       _cons |  -3.559533   .0381502   -93.30   0.000    -3.634306    -3.48476
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -44249.896  
Iteration 2:   log likelihood = -43362.986  
Iteration 3:   log likelihood =  -43020.47  
Iteration 4:   log likelihood = -42746.783  
Iteration 5:   log likelihood = -41809.053  
Iteration 6:   log likelihood = -41795.314  
Iteration 7:   log likelihood = -41795.269  
Iteration 8:   log likelihood = -41795.269  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41795.269
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4310173   .0281467    15.31   0.000     .3758507    .4861839
       _cons |   -2.87029   .0300351   -95.56   0.000    -2.929158   -2.811423
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -44152.552  
Iteration 2:   log likelihood = -43256.375  
Iteration 3:   log likelihood = -43107.164  
Iteration 4:   log likelihood = -42885.947  
Iteration 5:   log likelihood = -41797.609  
Iteration 6:   log likelihood = -41734.959  
Iteration 7:   log likelihood = -41721.397  
Iteration 8:   log likelihood = -41720.527  
Iteration 9:   log likelihood = -41720.523  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41720.523
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4276654   .0281469    15.19   0.000     .3724985    .4828322
       _cons |  -3.028279   .0338785   -89.39   0.000    -3.094679   -2.961878
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -44076.385  
Iteration 2:   log likelihood = -43604.685  
Iteration 3:   log likelihood = -43408.606  
Iteration 4:   log likelihood = -43245.799  
Iteration 5:   log likelihood = -43009.282  
Iteration 6:   log likelihood = -42334.846  
Iteration 7:   log likelihood = -41722.561  
Iteration 8:   log likelihood =  -41706.27  
Iteration 9:   log likelihood = -41706.233  
Iteration 10:  log likelihood = -41706.233  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41706.233
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4280195    .028147    15.21   0.000     .3728523    .4831867
       _cons |   -3.02882   .0345096   -87.77   0.000    -3.096458   -2.961183
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -44053.909  
Iteration 2:   log likelihood = -43587.517  
Iteration 3:   log likelihood = -43402.737  
Iteration 4:   log likelihood = -43262.267  
Iteration 5:   log likelihood = -42810.683  
Iteration 6:   log likelihood = -41694.262  
Iteration 7:   log likelihood = -41672.376  
Iteration 8:   log likelihood = -41671.436  
Iteration 9:   log likelihood = -41671.431  
Iteration 10:  log likelihood = -41671.431  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41671.431
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4293667   .0281473    15.25   0.000      .374199    .4845343
       _cons |  -3.054636    .035473   -86.11   0.000    -3.124161    -2.98511
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -44034.376  
Iteration 2:   log likelihood = -43574.078  
Iteration 3:   log likelihood = -43409.104  
Iteration 4:   log likelihood =  -42915.26  
Iteration 5:   log likelihood = -41663.759  
Iteration 6:   log likelihood = -41642.729  
Iteration 7:   log likelihood = -41642.226  
Iteration 8:   log likelihood = -41642.226  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41642.226
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4308823    .028148    15.31   0.000     .3757131    .4860515
       _cons |  -3.023797   .0353638   -85.51   0.000    -3.093109   -2.954486
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -44019.806  
Iteration 2:   log likelihood = -43564.278  
Iteration 3:   log likelihood = -43031.379  
Iteration 4:   log likelihood = -41662.052  
Iteration 5:   log likelihood =  -41630.27  
Iteration 6:   log likelihood = -41629.641  
Iteration 7:   log likelihood = -41629.639  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41629.639
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4306674   .0281487    15.30   0.000      .375497    .4858378
       _cons |   -3.00754   .0352171   -85.40   0.000    -3.076565   -2.938516
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -44006.307  
Iteration 2:   log likelihood =  -43772.43  
Iteration 3:   log likelihood = -43575.841  
Iteration 4:   log likelihood = -43286.801  
Iteration 5:   log likelihood = -42448.846  
Iteration 6:   log likelihood = -41640.588  
Iteration 7:   log likelihood = -41618.275  
Iteration 8:   log likelihood = -41618.141  
Iteration 9:   log likelihood = -41618.141  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41618.141
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .430763   .0281489    15.30   0.000     .3755923    .4859338
       _cons |  -2.999091   .0351679   -85.28   0.000    -3.068019   -2.930163
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 1: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -46678.095  
Iteration 1:   log likelihood = -43997.111  
Iteration 2:   log likelihood = -43766.248  
Iteration 3:   log likelihood = -43581.377  
Iteration 4:   log likelihood = -42617.727  
Iteration 5:   log likelihood = -41644.469  
Iteration 6:   log likelihood = -41617.925  
Iteration 7:   log likelihood = -41617.744  
Iteration 8:   log likelihood = -41617.744  

Survival model                                  Number of obs     =     22,452
Log likelihood = -41617.744
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4309075   .0281491    15.31   0.000     .3757363    .4860787
       _cons |  -2.994865   .0351436   -85.22   0.000    -3.063745   -2.925985
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family Cox tvc 1
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_1

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117112.27  
Iteration 2:   log likelihood = -101306.96  
Iteration 3:   log likelihood = -96920.883  
Iteration 4:   log likelihood = -96817.765  
Iteration 5:   log likelihood =  -96816.66  
Iteration 6:   log likelihood =  -96816.66  

Survival model                                  Number of obs     =     22,452
Log likelihood =  -96816.66
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2927472   .0183752   -15.93   0.000     -.328762   -.2567323
tipo_de_pl~) |  -.6532361   .0084622   -77.19   0.000    -.6698217   -.6366505
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Cox tvc 2
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_2

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117111.55  
Iteration 2:   log likelihood = -100680.59  
Iteration 3:   log likelihood = -95958.459  
Iteration 4:   log likelihood = -95741.622  
Iteration 5:   log likelihood = -95733.556  
Iteration 6:   log likelihood = -95733.535  
Iteration 7:   log likelihood = -95733.535  

Survival model                                  Number of obs     =     22,452
Log likelihood = -95733.535
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.3771721   .0206037   -18.31   0.000    -.4175545   -.3367896
tipo_de_pl~1 |  -1.074837   .0169709   -63.33   0.000      -1.1081   -1.041575
tipo_de_pl~2 |   .5928858   .0162692    36.44   0.000     .5609986    .6247729
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Cox tvc 3
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_3

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117109.96  
Iteration 2:   log likelihood =  -100621.9  
Iteration 3:   log likelihood = -95557.945  
Iteration 4:   log likelihood = -95404.324  
Iteration 5:   log likelihood = -95395.372  
Iteration 6:   log likelihood = -95395.346  
Iteration 7:   log likelihood = -95395.346  

Survival model                                  Number of obs     =     22,452
Log likelihood = -95395.346
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.5534339   .0261845   -21.14   0.000    -.6047547   -.5021132
tipo_de_pl~1 |  -1.527039   .0331124   -46.12   0.000    -1.591938    -1.46214
tipo_de_pl~2 |   .9724797   .0270285    35.98   0.000     .9195048    1.025455
tipo_de_pl~3 |   .4972845   .0197941    25.12   0.000     .4584888    .5360802
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Cox tvc 4
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_4

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117105.97  
Iteration 2:   log likelihood = -100340.91  
Iteration 3:   log likelihood = -95630.972  
Iteration 4:   log likelihood = -95410.564  
Iteration 5:   log likelihood = -95388.974  
Iteration 6:   log likelihood = -95388.675  
Iteration 7:   log likelihood = -95388.675  

Survival model                                  Number of obs     =     22,452
Log likelihood = -95388.675
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.5890098   .0293682   -20.06   0.000    -.6465705   -.5314491
tipo_de_pl~1 |  -1.597476   .0412243   -38.75   0.000    -1.678274   -1.516678
tipo_de_pl~2 |   1.024214   .0343507    29.82   0.000     .9568877     1.09154
tipo_de_pl~3 |   .5749513   .0278601    20.64   0.000     .5203466    .6295561
tipo_de_pl~4 |   .1291591   .0183513     7.04   0.000     .0931913     .165127
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Cox tvc 5
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_5

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117105.81  
Iteration 2:   log likelihood = -100287.91  
Iteration 3:   log likelihood = -95628.849  
Iteration 4:   log likelihood = -95410.805  
Iteration 5:   log likelihood = -95382.337  
Iteration 6:   log likelihood = -95381.711  
Iteration 7:   log likelihood = -95381.711  

Survival model                                  Number of obs     =     22,452
Log likelihood = -95381.711
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.6255184   .0323457   -19.34   0.000    -.6889148    -.562122
tipo_de_pl~1 |  -1.674772   .0488627   -34.28   0.000    -1.770541   -1.579003
tipo_de_pl~2 |   1.083389   .0407922    26.56   0.000     1.003438     1.16334
tipo_de_pl~3 |   .6344236   .0323567    19.61   0.000     .5710056    .6978417
tipo_de_pl~4 |    .218032   .0228847     9.53   0.000     .1731787    .2628852
tipo_de_pl~5 |   .0937032   .0178182     5.26   0.000       .05878    .1286263
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Cox tvc 6
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_6

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117105.77  
Iteration 2:   log likelihood = -100279.33  
Iteration 3:   log likelihood = -95628.983  
Iteration 4:   log likelihood = -95410.538  
Iteration 5:   log likelihood = -95375.612  
Iteration 6:   log likelihood =   -95374.6  
Iteration 7:   log likelihood = -95374.599  

Survival model                                  Number of obs     =     22,452
Log likelihood = -95374.599
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.6616178   .0353533   -18.71   0.000    -.7309091   -.5923265
tipo_de_pl~1 |  -1.746524   .0557623   -31.32   0.000    -1.855816   -1.637232
tipo_de_pl~2 |   1.138366   .0464777    24.49   0.000     1.047272    1.229461
tipo_de_pl~3 |   .6903442   .0368529    18.73   0.000     .6181138    .7625747
tipo_de_pl~4 |   .2814623    .025523    11.03   0.000     .2314382    .3314863
tipo_de_pl~5 |   .1374657   .0203653     6.75   0.000     .0975505    .1773808
tipo_de_pl~6 |   .0997863   .0179782     5.55   0.000     .0645497    .1350228
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Cox tvc 7
 ***********
variables created for model 1, component 2: _cmp_1_2_1 to _cmp_1_2_7

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117105.63  
Iteration 2:   log likelihood = -100260.24  
Iteration 3:   log likelihood = -95620.692  
Iteration 4:   log likelihood = -95411.238  
Iteration 5:   log likelihood = -95373.554  
Iteration 6:   log likelihood = -95371.998  
Iteration 7:   log likelihood =  -95371.99  

Survival model                                  Number of obs     =     22,452
Log likelihood =  -95371.99
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.6806288   .0377714   -18.02   0.000    -.7546595   -.6065982
tipo_de_pl~1 |  -1.783998   .0613287   -29.09   0.000    -1.904199   -1.663796
tipo_de_pl~2 |   1.160371   .0508217    22.83   0.000     1.060763     1.25998
tipo_de_pl~3 |   .7179978   .0401051    17.90   0.000     .6393932    .7966024
tipo_de_pl~4 |   .3257012   .0283725    11.48   0.000     .2700921    .3813103
tipo_de_pl~5 |   .1581106   .0219376     7.21   0.000     .1151136    .2011076
tipo_de_pl~6 |    .130365   .0195395     6.67   0.000     .0920682    .1686618
tipo_de_pl~7 |   .0752801   .0184937     4.07   0.000     .0390332    .1115271
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117175.24  
Iteration 2:   log likelihood = -99510.008  
Iteration 3:   log likelihood = -99238.598  
Iteration 4:   log likelihood = -99231.154  
Iteration 5:   log likelihood =  -99231.15  

Survival model                                  Number of obs     =     22,452
Log likelihood =  -99231.15
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   -.293933   .0175887   -16.71   0.000    -.3284062   -.2594597
       _cons |   -6.46212   .0117827  -548.44   0.000    -6.485214   -6.439026
------------------------------------------------------------------------------
 ***********
 Transition 2: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -9651537  
Iteration 1:   log likelihood = -117144.74  (not concave)
Iteration 2:   log likelihood = -104719.64  
Iteration 3:   log likelihood = -99349.078  
Iteration 4:   log likelihood =  -96030.25  
Iteration 5:   log likelihood = -95636.978  
Iteration 6:   log likelihood = -95631.468  
Iteration 7:   log likelihood = -95631.461  

Survival model                                  Number of obs     =     22,452
Log likelihood = -95631.461
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2379505   .0175982   -13.52   0.000    -.2724423   -.2034586
       _cons |  -3.887835   .0283997  -136.90   0.000    -3.943497   -3.832172
  log(gamma) |  -.5060877   .0069425   -72.90   0.000    -.5196947   -.4924807
------------------------------------------------------------------------------
 ***********
 Transition 2: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -3.30e+182  
Iteration 1:   log likelihood = -6505102.5  (not concave)
Iteration 2:   log likelihood = -5984694.3  (not concave)
Iteration 3:   log likelihood =   -5235357  (not concave)
Iteration 4:   log likelihood = -3070469.1  (not concave)
Iteration 5:   log likelihood =   -2087919  (not concave)
Iteration 6:   log likelihood = -1419784.9  (not concave)
Iteration 7:   log likelihood = -1306202.1  (not concave)
Iteration 8:   log likelihood = -1264403.7  (not concave)
Iteration 9:   log likelihood = -1199666.2  (not concave)
Iteration 10:  log likelihood = -1003138.1  (not concave)
Iteration 11:  log likelihood = -921169.48  (not concave)
Iteration 12:  log likelihood = -864419.71  (not concave)
Iteration 13:  log likelihood = -843685.25  (not concave)
Iteration 14:  log likelihood =  -829079.2  (not concave)
Iteration 15:  log likelihood = -798775.52  (not concave)
Iteration 16:  log likelihood =  -792512.1  (not concave)
Iteration 17:  log likelihood = -781729.64  (not concave)
Iteration 18:  log likelihood = -772904.23  (not concave)
Iteration 19:  log likelihood =  -762161.6  (not concave)
Iteration 20:  log likelihood = -415191.31  (not concave)
Iteration 21:  log likelihood = -348765.77  (not concave)
Iteration 22:  log likelihood = -320912.94  (not concave)
Iteration 23:  log likelihood = -268868.83  (not concave)
Iteration 24:  log likelihood = -257267.21  (not concave)
Iteration 25:  log likelihood = -249408.82  (not concave)
Iteration 26:  log likelihood = -241986.22  (not concave)
Iteration 27:  log likelihood = -233615.53  (not concave)
Iteration 28:  log likelihood = -198497.81  
Iteration 29:  log likelihood = -143808.51  (backed up)
Iteration 30:  log likelihood = -137357.11  
Iteration 31:  log likelihood = -93709.842  
Iteration 32:  log likelihood = -92027.136  
Iteration 33:  log likelihood = -92016.089  
Iteration 34:  log likelihood = -92016.082  

Survival model                                  Number of obs     =     22,452
Log likelihood = -92016.082
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2044523   .0175936   -11.62   0.000    -.2389351   -.1699695
       _cons |  -5.418461    .013976  -387.70   0.000    -5.445854   -5.391069
       gamma |   -.003533   .0000512   -69.03   0.000    -.0036333   -.0034327
------------------------------------------------------------------------------
 ***********
 Transition 2: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood = -177690.65  (not concave)
Iteration 1:   log likelihood = -100667.13  
Iteration 2:   log likelihood = -99883.009  
Iteration 3:   log likelihood = -94076.263  
Iteration 4:   log likelihood = -93988.588  
Iteration 5:   log likelihood = -93988.307  
Iteration 6:   log likelihood = -93988.307  

Survival model                                  Number of obs     =     22,452
Log likelihood = -93988.307
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .222068   .0270626     8.21   0.000     .1690262    .2751098
       _cons |   5.639003   .0185052   304.73   0.000     5.602733    5.675273
       dap:1 |   .0997718    .007471    13.35   0.000     .0851289    .1144147
------------------------------------------------------------------------------
 ***********
 Transition 2: family Logn
 ***********

Fitting full model:

initial values not feasible

-> Starting values failed - trying zero vector

initial values not feasible
 ***********
 Transition 2: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood = -223309.66  (not concave)
Iteration 1:   log likelihood =  -100053.8  (not concave)
Iteration 2:   log likelihood =  -96252.99  
Iteration 3:   log likelihood = -94667.509  
Iteration 4:   log likelihood = -93807.158  
Iteration 5:   log likelihood = -93677.755  
Iteration 6:   log likelihood = -93676.504  
Iteration 7:   log likelihood = -93676.504  

Survival model                                  Number of obs     =     22,452
Log likelihood = -93676.504
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1413098    .030609    -4.62   0.000    -.2013024   -.0813173
       _cons |   5.428048   .0248166   218.73   0.000     5.379408    5.476687
  log(sigma) |   .7166184   .0066775   107.32   0.000     .7035307    .7297061
       kappa |  -.6418705   .0257193   -24.96   0.000    -.6922794   -.5914616
------------------------------------------------------------------------------
 ***********
 Transition 2: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood = -105698.63  
Iteration 1:   log likelihood = -95812.977  
Iteration 2:   log likelihood = -95631.685  
Iteration 3:   log likelihood = -95631.461  
Iteration 4:   log likelihood = -95631.461  

Survival model                                  Number of obs     =     22,452
Log likelihood = -95631.461
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2379504   .0175982   -13.52   0.000    -.2724422   -.2034586
       _cons |  -.7424316   .0124442   -59.66   0.000    -.7668218   -.7180415
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -93532.078  
Iteration 2:   log likelihood = -92516.874  
Iteration 3:   log likelihood =  -92504.72  
Iteration 4:   log likelihood = -92504.713  

Survival model                                  Number of obs     =     22,452
Log likelihood = -92504.713
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2019317   .0175981   -11.47   0.000    -.2364232   -.1674401
       _cons |  -.8344081   .0126265   -66.08   0.000    -.8591557   -.8096606
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -92479.416  
Iteration 2:   log likelihood = -91828.236  
Iteration 3:   log likelihood = -91656.674  
Iteration 4:   log likelihood = -91592.273  
Iteration 5:   log likelihood = -91591.208  
Iteration 6:   log likelihood = -91591.161  
Iteration 7:   log likelihood = -91591.161  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91591.161
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2095374   .0175946   -11.91   0.000    -.2440222   -.1750527
       _cons |  -.7998148   .0125699   -63.63   0.000    -.8244513   -.7751783
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -92297.296  
Iteration 2:   log likelihood = -91787.777  
Iteration 3:   log likelihood = -91648.052  
Iteration 4:   log likelihood = -91581.291  
Iteration 5:   log likelihood = -91581.103  
Iteration 6:   log likelihood = -91581.101  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91581.101
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2099088   .0175956   -11.93   0.000    -.2443954   -.1754221
       _cons |  -.7987912   .0125718   -63.54   0.000    -.8234315   -.7741508
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -92227.242  
Iteration 2:   log likelihood = -91785.307  
Iteration 3:   log likelihood = -91579.444  
Iteration 4:   log likelihood = -91577.354  
Iteration 5:   log likelihood = -91577.266  
Iteration 6:   log likelihood = -91577.265  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91577.265
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2098121   .0175956   -11.92   0.000    -.2442989   -.1753253
       _cons |  -.7985673   .0125711   -63.52   0.000    -.8232061   -.7739284
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -92190.346  
Iteration 2:   log likelihood = -91950.786  
Iteration 3:   log likelihood = -91700.219  
Iteration 4:   log likelihood = -91574.156  
Iteration 5:   log likelihood = -91573.744  
Iteration 6:   log likelihood = -91573.744  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91573.744
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2096916   .0175957   -11.92   0.000    -.2441785   -.1752048
       _cons |  -.7984991   .0125711   -63.52   0.000    -.8231379   -.7738603
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood =  -92162.54  
Iteration 2:   log likelihood = -91941.194  
Iteration 3:   log likelihood = -91697.304  
Iteration 4:   log likelihood = -91570.525  
Iteration 5:   log likelihood = -91570.094  
Iteration 6:   log likelihood = -91570.094  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91570.094
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2095358   .0175957   -11.91   0.000    -.2440228   -.1750488
       _cons |  -.7984617   .0125709   -63.52   0.000    -.8231002   -.7738232
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -92148.699  
Iteration 2:   log likelihood = -91779.323  
Iteration 3:   log likelihood = -91569.037  
Iteration 4:   log likelihood = -91567.226  
Iteration 5:   log likelihood = -91567.225  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91567.225
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2094296   .0175958   -11.90   0.000    -.2439166   -.1749425
       _cons |  -.7984649    .012571   -63.52   0.000    -.8231037   -.7738262
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -93909.429  
Iteration 2:   log likelihood = -92644.041  
Iteration 3:   log likelihood = -92102.392  
Iteration 4:   log likelihood = -91870.496  
Iteration 5:   log likelihood = -91744.964  
Iteration 6:   log likelihood = -91616.787  
Iteration 7:   log likelihood = -91564.387  
Iteration 8:   log likelihood = -91564.071  
Iteration 9:   log likelihood = -91564.071  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91564.071
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2093363   .0175958   -11.90   0.000    -.2438234   -.1748492
       _cons |  -.7984801   .0125712   -63.52   0.000    -.8231191    -.773841
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 2: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -96842.706  
Iteration 1:   log likelihood = -93896.519  
Iteration 2:   log likelihood = -92624.741  
Iteration 3:   log likelihood = -92090.946  
Iteration 4:   log likelihood = -91866.576  
Iteration 5:   log likelihood = -91651.398  
Iteration 6:   log likelihood =  -91560.41  
Iteration 7:   log likelihood = -91559.778  
Iteration 8:   log likelihood = -91559.778  

Survival model                                  Number of obs     =     22,452
Log likelihood = -91559.778
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2092327   .0175958   -11.89   0.000    -.2437198   -.1747455
       _cons |  -.7985098   .0125714   -63.52   0.000    -.8231493   -.7738703
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family Cox tvc 1
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_1

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14490.854  
Iteration 2:   log likelihood = -14305.422  
Iteration 3:   log likelihood = -13929.887  
Iteration 4:   log likelihood = -13920.824  
Iteration 5:   log likelihood = -13920.765  
Iteration 6:   log likelihood = -13920.765  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13920.765
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1517638    .062779     2.42   0.016     .0287192    .2748084
      _start |   .0001282   .0001451     0.88   0.377    -.0001561    .0004125
tipo_de_pl~) |  -.7822153   .0225076   -34.75   0.000    -.8263294   -.7381011
       _cons |  -8.837078   .0767339  -115.17   0.000    -8.987473   -8.686682
------------------------------------------------------------------------------
 ***********
 Transition 3: family Cox tvc 2
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_2

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14489.624  
Iteration 2:   log likelihood = -14110.455  
Iteration 3:   log likelihood = -13989.967  
Iteration 4:   log likelihood = -13920.607  
Iteration 5:   log likelihood = -13920.189  
Iteration 6:   log likelihood = -13920.189  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13920.189
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1325327   .0655112     2.02   0.043      .004133    .2609324
      _start |   .0001256   .0001451     0.87   0.387    -.0001588      .00041
tipo_de_pl~1 |  -.8027679   .0298115   -26.93   0.000    -.8611973   -.7443384
tipo_de_pl~2 |   .0263992   .0247801     1.07   0.287    -.0221689    .0749673
       _cons |  -8.836037   .0767337  -115.15   0.000    -8.986433   -8.685642
------------------------------------------------------------------------------
 ***********
 Transition 3: family Cox tvc 3
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_3

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14489.197  
Iteration 2:   log likelihood = -14113.764  
Iteration 3:   log likelihood =  -13971.55  
Iteration 4:   log likelihood =  -13912.43  
Iteration 5:   log likelihood = -13912.026  
Iteration 6:   log likelihood = -13912.026  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13912.026
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .056147   .0696912     0.81   0.420    -.0804452    .1927392
      _start |   .0001176    .000145     0.81   0.417    -.0001666    .0004018
tipo_de_pl~1 |  -.8858455   .0382962   -23.13   0.000    -.9609047   -.8107863
tipo_de_pl~2 |   .1177744   .0342761     3.44   0.001     .0505945    .1849544
tipo_de_pl~3 |   .1258821   .0309894     4.06   0.000      .065144    .1866203
       _cons |  -8.832781   .0766682  -115.21   0.000    -8.983048   -8.682514
------------------------------------------------------------------------------
 ***********
 Transition 3: family Cox tvc 4
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_4

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14488.987  
Iteration 2:   log likelihood =  -14176.63  
Iteration 3:   log likelihood = -13990.457  
Iteration 4:   log likelihood = -13914.627  
Iteration 5:   log likelihood = -13911.936  
Iteration 6:   log likelihood = -13911.909  
Iteration 7:   log likelihood = -13911.909  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13911.909
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0483881   .0718776     0.67   0.501    -.0924895    .1892657
      _start |   .0001177    .000145     0.81   0.417    -.0001665    .0004019
tipo_de_pl~1 |  -.8937017   .0419209   -21.32   0.000    -.9758652   -.8115381
tipo_de_pl~2 |   .1209413   .0366385     3.30   0.001     .0491312    .1927513
tipo_de_pl~3 |   .1351382   .0371877     3.63   0.000     .0622516    .2080248
tipo_de_pl~4 |   .0430425   .0344531     1.25   0.212    -.0244843    .1105694
       _cons |  -8.832823   .0766658  -115.21   0.000    -8.983086   -8.682561
------------------------------------------------------------------------------
 ***********
 Transition 3: family Cox tvc 5
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_5

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14488.879  
Iteration 2:   log likelihood = -14357.352  
Iteration 3:   log likelihood = -14099.909  
Iteration 4:   log likelihood = -13935.013  
Iteration 5:   log likelihood = -13913.368  
Iteration 6:   log likelihood = -13911.873  
Iteration 7:   log likelihood = -13911.868  
Iteration 8:   log likelihood = -13911.868  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13911.868
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0416553   .0734319     0.57   0.571    -.1022686    .1855792
      _start |   .0001179    .000145     0.81   0.416    -.0001663     .000402
tipo_de_pl~1 |  -.9005774   .0447838   -20.11   0.000    -.9883521   -.8128027
tipo_de_pl~2 |    .123128   .0390494     3.15   0.002     .0465925    .1996634
tipo_de_pl~3 |    .137084   .0368638     3.72   0.000     .0648322    .2093357
tipo_de_pl~4 |    .070889   .0380997     1.86   0.063    -.0037849    .1455629
tipo_de_pl~5 |   .0256129   .0370517     0.69   0.489    -.0470071    .0982329
       _cons |  -8.832893   .0766639  -115.22   0.000    -8.983152   -8.682635
------------------------------------------------------------------------------
 ***********
 Transition 3: family Cox tvc 6
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_6

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14488.847  
Iteration 2:   log likelihood = -14252.568  
Iteration 3:   log likelihood = -13940.926  
Iteration 4:   log likelihood = -13911.425  
Iteration 5:   log likelihood = -13910.878  
Iteration 6:   log likelihood = -13910.877  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13910.877
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0283766   .0750211     0.38   0.705    -.1186622    .1754153
      _start |   .0001191    .000145     0.82   0.411     -.000165    .0004033
tipo_de_pl~1 |  -.9139244   .0473262   -19.31   0.000    -1.006682   -.8211668
tipo_de_pl~2 |     .13124   .0408176     3.22   0.001     .0512391     .211241
tipo_de_pl~3 |    .146834   .0376529     3.90   0.000     .0730356    .2206324
tipo_de_pl~4 |   .0934383   .0374794     2.49   0.013     .0199801    .1668965
tipo_de_pl~5 |   .0385087   .0387795     0.99   0.321    -.0374977    .1145152
tipo_de_pl~6 |   .0538924   .0391796     1.38   0.169    -.0228983     .130683
       _cons |    -8.8334   .0766678  -115.22   0.000    -8.983666   -8.683134
------------------------------------------------------------------------------
 ***********
 Transition 3: family Cox tvc 7
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_7

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14488.833  
Iteration 2:   log likelihood = -14252.859  
Iteration 3:   log likelihood = -13943.224  
Iteration 4:   log likelihood = -13910.367  
Iteration 5:   log likelihood = -13909.767  
Iteration 6:   log likelihood = -13909.766  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13909.766
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0284054    .075964     0.37   0.708    -.1204813     .177292
      _start |   .0001196    .000145     0.83   0.409    -.0001645    .0004038
tipo_de_pl~1 |  -.9143453   .0488265   -18.73   0.000    -1.010044   -.8186471
tipo_de_pl~2 |   .1265934   .0415705     3.05   0.002     .0451167    .2080702
tipo_de_pl~3 |   .1439488   .0372628     3.86   0.000      .070915    .2169826
tipo_de_pl~4 |   .1045243   .0376967     2.77   0.006     .0306401    .1784084
tipo_de_pl~5 |   .0294003   .0375315     0.78   0.433      -.04416    .1029606
tipo_de_pl~6 |   .0639048   .0397005     1.61   0.107    -.0139068    .1417164
tipo_de_pl~7 |   .0239115   .0404145     0.59   0.554    -.0552995    .1031225
       _cons |  -8.833614    .076672  -115.21   0.000    -8.983889    -8.68334
------------------------------------------------------------------------------
 ***********
 Transition 3: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14493.602  
Iteration 2:   log likelihood = -14374.848  
Iteration 3:   log likelihood = -14356.492  
Iteration 4:   log likelihood = -14356.476  
Iteration 5:   log likelihood = -14356.476  

Survival model                                  Number of obs     =      5,356
Log likelihood = -14356.476
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .474441   .0595182     7.97   0.000     .3577874    .5910946
      _start |   .0002548   .0001452     1.75   0.079    -.0000298    .0005393
       _cons |  -8.888773   .0773389  -114.93   0.000    -9.040355   -8.737192
------------------------------------------------------------------------------
 ***********
 Transition 3: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -7311003  
Iteration 1:   log likelihood = -14493.187  (not concave)
Iteration 2:   log likelihood =  -14345.84  
Iteration 3:   log likelihood = -14143.837  
Iteration 4:   log likelihood = -13931.733  
Iteration 5:   log likelihood = -13912.789  
Iteration 6:   log likelihood = -13911.047  
Iteration 7:   log likelihood = -13911.046  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13911.046
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5077262   .0591823     8.58   0.000      .391731    .6237213
      _start |   .0001873   .0001449     1.29   0.196    -.0000967    .0004713
       _cons |    -5.4769   .1200365   -45.63   0.000    -5.712167   -5.241633
  log(gamma) |  -.6132304    .023343   -26.27   0.000    -.6589819   -.5674789
------------------------------------------------------------------------------
 ***********
 Transition 3: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -7.12e+162  
Iteration 1:   log likelihood = -687238.95  (not concave)
Iteration 2:   log likelihood = -577280.72  (not concave)
Iteration 3:   log likelihood = -531098.26  
Iteration 4:   log likelihood = -300177.02  (backed up)
Iteration 5:   log likelihood = -124964.26  (backed up)
Iteration 6:   log likelihood = -16879.074  (backed up)
Iteration 7:   log likelihood = -14497.992  
Iteration 8:   log likelihood = -14225.397  
Iteration 9:   log likelihood = -14024.635  
Iteration 10:  log likelihood = -14023.427  
Iteration 11:  log likelihood = -14023.426  

Survival model                                  Number of obs     =      5,356
Log likelihood = -14023.426
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5198257   .0591875     8.78   0.000     .4038204     .635831
      _start |   .0001633   .0001449     1.13   0.260    -.0001207    .0004474
       _cons |  -8.058485   .0812104   -99.23   0.000    -8.217654   -7.899315
       gamma |  -.0010193   .0000457   -22.30   0.000    -.0011089   -.0009297
------------------------------------------------------------------------------
 ***********
 Transition 3: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood = -43960.287  (not concave)
Iteration 1:   log likelihood = -18567.974  (not concave)
Iteration 2:   log likelihood = -14999.044  (not concave)
Iteration 3:   log likelihood = -14319.276  
Iteration 4:   log likelihood = -14030.142  
Iteration 5:   log likelihood = -13902.674  
Iteration 6:   log likelihood = -13897.831  
Iteration 7:   log likelihood = -13897.808  
Iteration 8:   log likelihood = -13897.808  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13897.808
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -1.035633   .1148815    -9.01   0.000    -1.260796   -.8104691
      _start |  -.0003022   .0002847    -1.06   0.288    -.0008602    .0002557
       _cons |   9.637754    .157025    61.38   0.000      9.32999    9.945517
       dap:1 |   .5100912   .0228359    22.34   0.000     .4653336    .5548488
------------------------------------------------------------------------------
 ***********
 Transition 3: family Logn
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -144513.5  (not concave)
Iteration 1:   log likelihood = -138898.53  (not concave)
Iteration 2:   log likelihood = -112192.96  (not concave)
Iteration 3:   log likelihood = -27822.982  (not concave)
Iteration 4:   log likelihood = -14606.976  
Iteration 5:   log likelihood = -13917.194  
Iteration 6:   log likelihood = -13892.635  
Iteration 7:   log likelihood = -13892.341  
Iteration 8:   log likelihood = -13892.341  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13892.341
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -1.240162   .1221038   -10.16   0.000    -1.479481   -1.000843
      _start |  -.0002606   .0003047    -0.86   0.392    -.0008579    .0003366
       _cons |   10.02745     .16829    59.58   0.000     9.697609    10.35729
       dap:1 |   1.152093   .0204174    56.43   0.000     1.112076     1.19211
------------------------------------------------------------------------------
 ***********
 Transition 3: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood = -75485.333  (not concave)
Iteration 1:   log likelihood = -15238.377  (not concave)
Iteration 2:   log likelihood = -14601.346  (not concave)
Iteration 3:   log likelihood = -14256.157  (not concave)
Iteration 4:   log likelihood = -14109.137  (not concave)
Iteration 5:   log likelihood = -14034.296  
Iteration 6:   log likelihood = -13994.639  (not concave)
Iteration 7:   log likelihood = -13925.786  (not concave)
Iteration 8:   log likelihood = -13913.207  
Iteration 9:   log likelihood = -13900.196  
Iteration 10:  log likelihood = -13891.101  
Iteration 11:  log likelihood = -13890.995  
Iteration 12:  log likelihood = -13890.995  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13890.995
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -1.177109   .1261634    -9.33   0.000    -1.424385   -.9298335
      _start |  -.0002843   .0002989    -0.95   0.341    -.0008701    .0003015
       _cons |   10.08423   .1684188    59.88   0.000      9.75414    10.41433
  log(sigma) |   1.065019    .059292    17.96   0.000     .9488089    1.181229
       kappa |   .2022412   .1203417     1.68   0.093    -.0336242    .4381066
------------------------------------------------------------------------------
 ***********
 Transition 3: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood =  -17432.64  
Iteration 1:   log likelihood = -13939.194  
Iteration 2:   log likelihood = -13911.081  
Iteration 3:   log likelihood = -13911.046  
Iteration 4:   log likelihood = -13911.046  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13911.046
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5077262   .0591823     8.58   0.000     .3917309    .6237214
      _start |   .0001873   .0001449     1.29   0.196    -.0000967    .0004713
       _cons |    -1.8824   .0769383   -24.47   0.000    -2.033197   -1.731604
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13906.279  
Iteration 2:   log likelihood =  -13903.28  
Iteration 3:   log likelihood = -13903.275  
Iteration 4:   log likelihood = -13903.275  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13903.275
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5122018    .059166     8.66   0.000     .3962385     .628165
      _start |   .0001807    .000145     1.25   0.213    -.0001034    .0004648
       _cons |   -1.88182     .07686   -24.48   0.000    -2.032462   -1.731177
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13903.446  
Iteration 2:   log likelihood = -13898.798  
Iteration 3:   log likelihood = -13898.783  
Iteration 4:   log likelihood = -13898.783  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13898.783
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5145376   .0591604     8.70   0.000     .3985853    .6304898
      _start |   .0001748    .000145     1.21   0.228    -.0001093    .0004589
       _cons |  -1.881855   .0768362   -24.49   0.000    -2.032452   -1.731259
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13903.159  
Iteration 2:   log likelihood = -13896.891  
Iteration 3:   log likelihood = -13896.873  
Iteration 4:   log likelihood = -13896.873  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13896.873
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5147463    .059162     8.70   0.000      .398791    .6307016
      _start |   .0001723   .0001449     1.19   0.235    -.0001118    .0004564
       _cons |  -1.881151   .0768366   -24.48   0.000    -2.031748   -1.730554
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13901.415  
Iteration 2:   log likelihood = -13894.801  
Iteration 3:   log likelihood = -13894.774  
Iteration 4:   log likelihood = -13894.774  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13894.774
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5146412   .0591629     8.70   0.000     .3986841    .6305984
      _start |   .0001723   .0001449     1.19   0.234    -.0001117    .0004564
       _cons |  -1.881157     .07684   -24.48   0.000    -2.031761   -1.730554
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13898.185  
Iteration 2:   log likelihood = -13890.226  
Iteration 3:   log likelihood = -13890.155  
Iteration 4:   log likelihood = -13890.155  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13890.155
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5147262   .0591621     8.70   0.000     .3987706    .6306818
      _start |   .0001725   .0001449     1.19   0.234    -.0001116    .0004565
       _cons |  -1.881377   .0768356   -24.49   0.000    -2.031972   -1.730782
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13894.832  
Iteration 2:   log likelihood = -13885.877  
Iteration 3:   log likelihood = -13885.777  
Iteration 4:   log likelihood = -13885.777  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13885.777
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .514678   .0591613     8.70   0.000     .3987239    .6306321
      _start |   .0001721   .0001449     1.19   0.235    -.0001119    .0004562
       _cons |  -1.881325   .0768327   -24.49   0.000    -2.031915   -1.730736
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13894.255  
Iteration 2:   log likelihood = -13883.701  
Iteration 3:   log likelihood =   -13883.5  
Iteration 4:   log likelihood =   -13883.5  

Survival model                                  Number of obs     =      5,356
Log likelihood =   -13883.5
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5147517   .0591609     8.70   0.000     .3987984     .630705
      _start |   .0001722   .0001449     1.19   0.235    -.0001118    .0004562
       _cons |  -1.881458   .0768301   -24.49   0.000    -2.032043   -1.730874
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood =  -13893.92  
Iteration 2:   log likelihood = -13880.929  
Iteration 3:   log likelihood =  -13880.51  
Iteration 4:   log likelihood =  -13880.51  

Survival model                                  Number of obs     =      5,356
Log likelihood =  -13880.51
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .514812   .0591601     8.70   0.000     .3988603    .6307637
      _start |   .0001726   .0001449     1.19   0.234    -.0001114    .0004565
       _cons |  -1.881671   .0768251   -24.49   0.000    -2.032246   -1.731097
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 3: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood =  -13986.25  
Iteration 1:   log likelihood = -13894.091  
Iteration 2:   log likelihood = -13878.557  
Iteration 3:   log likelihood = -13877.867  
Iteration 4:   log likelihood = -13877.866  
Iteration 5:   log likelihood = -13877.866  

Survival model                                  Number of obs     =      5,356
Log likelihood = -13877.866
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .5147974   .0591594     8.70   0.000     .3988472    .6307477
      _start |    .000173   .0001449     1.19   0.232    -.0001109     .000457
       _cons |  -1.881843   .0768193   -24.50   0.000    -2.032406    -1.73128
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family Cox tvc 1
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_1

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38455.447  
Iteration 2:   log likelihood = -36942.227  
Iteration 3:   log likelihood = -36874.761  
Iteration 4:   log likelihood = -36872.997  
Iteration 5:   log likelihood = -36872.996  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36872.996
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .050915   .0354366     1.44   0.151    -.0185395    .1203695
      _start |   .0004497   .0001093     4.12   0.000     .0002356    .0006639
tipo_de_pl~) |  -.8767437   .0154405   -56.78   0.000    -.9070065   -.8464809
       _cons |  -8.698989    .029887  -291.06   0.000    -8.757566   -8.640411
------------------------------------------------------------------------------
 ***********
 Transition 4: family Cox tvc 2
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_2

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38452.281  
Iteration 2:   log likelihood = -37372.665  
Iteration 3:   log likelihood = -37041.975  
Iteration 4:   log likelihood = -36851.581  
Iteration 5:   log likelihood = -36849.953  
Iteration 6:   log likelihood = -36849.952  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36849.952
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0558702   .0399327    -1.40   0.162    -.1341368    .0223964
      _start |   .0004507   .0001092     4.13   0.000     .0002368    .0006647
tipo_de_pl~1 |  -.9797523   .0225052   -43.53   0.000    -1.023862    -.935643
tipo_de_pl~2 |   .1170787   .0178332     6.57   0.000     .0821262    .1520311
       _cons |   -8.69916   .0298789  -291.15   0.000    -8.757722   -8.640598
------------------------------------------------------------------------------
 ***********
 Transition 4: family Cox tvc 3
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_3

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38451.817  
Iteration 2:   log likelihood = -37492.677  
Iteration 3:   log likelihood =  -37002.28  
Iteration 4:   log likelihood = -36849.157  
Iteration 5:   log likelihood = -36845.185  
Iteration 6:   log likelihood =  -36845.18  
Iteration 7:   log likelihood =  -36845.18  

Survival model                                  Number of obs     =     13,067
Log likelihood =  -36845.18
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1093131   .0444206    -2.46   0.014    -.1963758   -.0222504
      _start |   .0004505   .0001091     4.13   0.000     .0002366    .0006644
tipo_de_pl~1 |  -1.032942   .0291338   -35.46   0.000    -1.090043    -.975841
tipo_de_pl~2 |   .1689984   .0247534     6.83   0.000     .1204826    .2175142
tipo_de_pl~3 |     .07528   .0218955     3.44   0.001     .0323656    .1181944
       _cons |   -8.69912   .0298739  -291.19   0.000    -8.757672   -8.640568
------------------------------------------------------------------------------
 ***********
 Transition 4: family Cox tvc 4
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_4

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38451.555  
Iteration 2:   log likelihood = -37818.982  
Iteration 3:   log likelihood = -37311.282  
Iteration 4:   log likelihood = -36887.405  
Iteration 5:   log likelihood = -36846.633  
Iteration 6:   log likelihood = -36845.264  
Iteration 7:   log likelihood = -36845.258  
Iteration 8:   log likelihood = -36845.258  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36845.258
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1003591   .0460477    -2.18   0.029    -.1906108   -.0101073
      _start |   .0004505   .0001091     4.13   0.000     .0002367    .0006644
tipo_de_pl~1 |  -1.024439   .0315415   -32.48   0.000    -1.086259   -.9626189
tipo_de_pl~2 |   .1586549   .0266844     5.95   0.000     .1063545    .2109553
tipo_de_pl~3 |   .0688302   .0264189     2.61   0.009     .0170502    .1206103
tipo_de_pl~4 |   .0022865   .0240785     0.09   0.924    -.0449066    .0494795
       _cons |  -8.699129   .0298746  -291.19   0.000    -8.757682   -8.640576
------------------------------------------------------------------------------
 ***********
 Transition 4: family Cox tvc 5
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_5

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38451.525  
Iteration 2:   log likelihood = -38112.055  
Iteration 3:   log likelihood = -37585.708  
Iteration 4:   log likelihood = -36919.917  
Iteration 5:   log likelihood = -36851.807  
Iteration 6:   log likelihood = -36843.479  
Iteration 7:   log likelihood = -36843.397  
Iteration 8:   log likelihood = -36843.397  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36843.397
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0865221   .0464202    -1.86   0.062     -.177504    .0044599
      _start |   .0004506   .0001091     4.13   0.000     .0002367    .0006645
tipo_de_pl~1 |  -1.008222   .0325254   -31.00   0.000    -1.071971   -.9444734
tipo_de_pl~2 |    .139902   .0276117     5.07   0.000      .085784      .19402
tipo_de_pl~3 |    .057027   .0260703     2.19   0.029     .0059301    .1081238
tipo_de_pl~4 |   .0002526   .0267809     0.01   0.992    -.0522369    .0527422
tipo_de_pl~5 |  -.0465636   .0253324    -1.84   0.066    -.0962141     .003087
       _cons |  -8.699142   .0298758  -291.18   0.000    -8.757698   -8.640587
------------------------------------------------------------------------------
 ***********
 Transition 4: family Cox tvc 6
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_6

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38451.529  
Iteration 2:   log likelihood = -38153.482  
Iteration 3:   log likelihood = -37675.333  
Iteration 4:   log likelihood = -36927.457  
Iteration 5:   log likelihood = -36852.757  
Iteration 6:   log likelihood = -36840.781  
Iteration 7:   log likelihood = -36840.665  
Iteration 8:   log likelihood = -36840.665  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36840.665
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0937999   .0472848    -1.98   0.047    -.1864765   -.0011234
      _start |    .000451   .0001091     4.13   0.000     .0002372    .0006649
tipo_de_pl~1 |  -1.015284   .0338059   -30.03   0.000    -1.081542   -.9490255
tipo_de_pl~2 |   .1451479   .0285138     5.09   0.000     .0892619    .2010338
tipo_de_pl~3 |   .0679709   .0263499     2.58   0.010     .0163261    .1196157
tipo_de_pl~4 |   .0291483   .0263812     1.10   0.269    -.0225579    .0808544
tipo_de_pl~5 |  -.0417053   .0271371    -1.54   0.124    -.0948929    .0114824
tipo_de_pl~6 |   .0088364   .0267288     0.33   0.741    -.0435511    .0612239
       _cons |  -8.699215   .0298758  -291.18   0.000     -8.75777   -8.640659
------------------------------------------------------------------------------
 ***********
 Transition 4: family Cox tvc 7
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_7

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38451.529  
Iteration 2:   log likelihood = -38084.739  
Iteration 3:   log likelihood = -37684.078  
Iteration 4:   log likelihood = -36923.384  
Iteration 5:   log likelihood =  -36851.96  
Iteration 6:   log likelihood = -36839.236  
Iteration 7:   log likelihood = -36839.094  
Iteration 8:   log likelihood = -36839.094  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36839.094
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0898744   .0475853    -1.89   0.059    -.1831399     .003391
      _start |    .000451   .0001091     4.13   0.000     .0002371    .0006649
tipo_de_pl~1 |  -1.010827   .0343694   -29.41   0.000     -1.07819   -.9434644
tipo_de_pl~2 |    .139656   .0287132     4.86   0.000     .0833791    .1959329
tipo_de_pl~3 |   .0648559   .0260236     2.49   0.013     .0138506    .1158613
tipo_de_pl~4 |   .0378887   .0261785     1.45   0.148    -.0134202    .0891976
tipo_de_pl~5 |  -.0441368   .0259633    -1.70   0.089    -.0950239    .0067504
tipo_de_pl~6 |  -.0074729   .0274434    -0.27   0.785     -.061261    .0463151
tipo_de_pl~7 |  -.0115053   .0284686    -0.40   0.686    -.0673028    .0442922
       _cons |  -8.699203   .0298759  -291.18   0.000    -8.757759   -8.640647
------------------------------------------------------------------------------
 ***********
 Transition 4: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood = -38464.034  
Iteration 2:   log likelihood = -38110.194  
Iteration 3:   log likelihood = -38002.501  
Iteration 4:   log likelihood = -38002.391  
Iteration 5:   log likelihood = -38002.391  

Survival model                                  Number of obs     =     13,067
Log likelihood = -38002.391
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4349865   .0317193    13.71   0.000     .3728179    .4971551
      _start |   .0004705     .00011     4.28   0.000     .0002549     .000686
       _cons |  -8.702556   .0299983  -290.10   0.000    -8.761352   -8.643761
------------------------------------------------------------------------------
 ***********
 Transition 4: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -18299896  
Iteration 1:   log likelihood =  -38462.55  (not concave)
Iteration 2:   log likelihood = -37978.163  
Iteration 3:   log likelihood = -37121.164  
Iteration 4:   log likelihood = -36586.507  
Iteration 5:   log likelihood = -36555.992  
Iteration 6:   log likelihood =  -36555.63  
Iteration 7:   log likelihood =  -36555.63  

Survival model                                  Number of obs     =     13,067
Log likelihood =  -36555.63
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4455861   .0317046    14.05   0.000     .3834462     .507726
      _start |   .0004663   .0001089     4.28   0.000      .000253    .0006797
       _cons |  -5.055356   .0614091   -82.32   0.000    -5.175715   -4.934996
  log(gamma) |  -.6728568   .0143693   -46.83   0.000    -.7010201   -.6446935
------------------------------------------------------------------------------
 ***********
 Transition 4: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -8.12e+160  
Iteration 1:   log likelihood = -1854763.6  (not concave)
Iteration 2:   log likelihood = -1706382.6  (not concave)
Iteration 3:   log likelihood = -1487968.3  (not concave)
Iteration 4:   log likelihood = -1453502.6  (not concave)
Iteration 5:   log likelihood = -1434488.7  (not concave)
Iteration 6:   log likelihood = -1234249.8  (not concave)
Iteration 7:   log likelihood = -1221605.8  (not concave)
Iteration 8:   log likelihood = -1213556.6  (not concave)
Iteration 9:   log likelihood = -1042299.7  (not concave)
Iteration 10:  log likelihood = -1019857.7  (not concave)
Iteration 11:  log likelihood = -1013126.6  (not concave)
Iteration 12:  log likelihood = -820350.55  
Iteration 13:  log likelihood = -81878.285  (backed up)
Iteration 14:  log likelihood = -51809.177  (backed up)
Iteration 15:  log likelihood = -38521.946  
Iteration 16:  log likelihood = -37053.126  
Iteration 17:  log likelihood = -36811.845  
Iteration 18:  log likelihood = -36808.985  
Iteration 19:  log likelihood = -36808.984  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36808.984
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4623632   .0317051    14.58   0.000     .4002224    .5245041
      _start |   .0004734   .0001084     4.37   0.000     .0002609    .0006859
       _cons |  -7.745911   .0340336  -227.60   0.000    -7.812616   -7.679207
       gamma |  -.0012432   .0000305   -40.79   0.000     -.001303   -.0011835
------------------------------------------------------------------------------
 ***********
 Transition 4: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood = -108807.03  (not concave)
Iteration 1:   log likelihood = -49932.546  (not concave)
Iteration 2:   log likelihood = -38261.806  (not concave)
Iteration 3:   log likelihood = -37260.064  
Iteration 4:   log likelihood = -36636.083  
Iteration 5:   log likelihood = -36495.131  
Iteration 6:   log likelihood = -36493.465  
Iteration 7:   log likelihood = -36493.465  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36493.465
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -1.004718   .0671133   -14.97   0.000    -1.136257    -.873178
      _start |  -.0010369   .0002323    -4.46   0.000    -.0014922   -.0005816
       _cons |   9.392464   .0689867   136.15   0.000     9.257253    9.527676
       dap:1 |   .5578042   .0139822    39.89   0.000     .5303995    .5852088
------------------------------------------------------------------------------
 ***********
 Transition 4: family Logn
 ***********

Fitting full model:

Iteration 0:   log likelihood = -355087.89  (not concave)
Iteration 1:   log likelihood = -200707.65  (not concave)
Iteration 2:   log likelihood = -196252.56  (not concave)
Iteration 3:   log likelihood = -196195.54  (not concave)
Iteration 4:   log likelihood = -196176.78  (not concave)
Iteration 5:   log likelihood = -196175.21  (not concave)
Iteration 6:   log likelihood =  -154045.5  (not concave)
Iteration 7:   log likelihood = -153307.68  (not concave)
Iteration 8:   log likelihood = -153293.98  (not concave)
Iteration 9:   log likelihood = -153279.76  (not concave)
Iteration 10:  log likelihood = -153272.85  (not concave)
Iteration 11:  log likelihood =  -153269.4  (not concave)
Iteration 12:  log likelihood = -151922.13  (not concave)
Iteration 13:  log likelihood = -150575.99  (not concave)
Iteration 14:  log likelihood = -150491.65  (not concave)
Iteration 15:  log likelihood = -150486.82  (not concave)
Iteration 16:  log likelihood = -150484.31  (not concave)
Iteration 17:  log likelihood =  -150475.6  (not concave)
Iteration 18:  log likelihood = -150469.69  (not concave)
Iteration 19:  log likelihood = -150465.02  (not concave)
Iteration 20:  log likelihood = -150461.41  (not concave)
Iteration 21:  log likelihood = -150451.26  
Iteration 22:  log likelihood = -150445.27  (not concave)
Iteration 23:  log likelihood = -139364.33  (not concave)
Iteration 24:  log likelihood = -135195.54  (not concave)
Iteration 25:  log likelihood = -135180.15  
Iteration 26:  log likelihood = -135103.46  (not concave)
Iteration 27:  log likelihood = -134595.34  (not concave)
Iteration 28:  log likelihood = -134102.51  (not concave)
Iteration 29:  log likelihood = -134040.05  (not concave)
Iteration 30:  log likelihood = -134032.26  (not concave)
Iteration 31:  log likelihood = -133910.58  (not concave)
Iteration 32:  log likelihood = -133767.11  (not concave)
Iteration 33:  log likelihood = -133692.94  
Iteration 34:  log likelihood = -133690.53  (not concave)
Iteration 35:  log likelihood = -133683.55  (not concave)
Iteration 36:  log likelihood = -133679.92  (not concave)
Iteration 37:  log likelihood = -133516.41  (not concave)
Iteration 38:  log likelihood = -133328.93  (not concave)
Iteration 39:  log likelihood = -133313.06  (not concave)
Iteration 40:  log likelihood = -133301.78  (not concave)
Iteration 41:  log likelihood = -133275.01  (not concave)
Iteration 42:  log likelihood = -133250.59  (not concave)
Iteration 43:  log likelihood = -133246.27  (not concave)
Iteration 44:  log likelihood = -133238.36  (not concave)
Iteration 45:  log likelihood = -133236.84  (not concave)
Iteration 46:  log likelihood = -133226.51  (not concave)
Iteration 47:  log likelihood = -133214.54  
Iteration 48:  log likelihood = -133210.34  (not concave)
Iteration 49:  log likelihood =  -131413.3  (not concave)
Iteration 50:  log likelihood = -131125.56  (not concave)
Iteration 51:  log likelihood = -131114.13  (not concave)
Iteration 52:  log likelihood = -131112.79  (not concave)
Iteration 53:  log likelihood = -131074.54  (not concave)
Iteration 54:  log likelihood = -131060.02  (not concave)
Iteration 55:  log likelihood = -131018.87  (not concave)
Iteration 56:  log likelihood = -130908.42  (not concave)
Iteration 57:  log likelihood =  -130894.9  (not concave)
Iteration 58:  log likelihood = -130881.08  (not concave)
Iteration 59:  log likelihood = -130874.06  (not concave)
Iteration 60:  log likelihood = -130864.45  (not concave)
Iteration 61:  log likelihood = -130860.71  (not concave)
Iteration 62:  log likelihood = -130806.79  (not concave)
Iteration 63:  log likelihood = -130764.27  (not concave)
Iteration 64:  log likelihood = -130598.57  (not concave)
Iteration 65:  log likelihood = -130507.89  
Iteration 66:  log likelihood = -130497.02  (not concave)
Iteration 67:  log likelihood = -129967.79  (not concave)
Iteration 68:  log likelihood = -129938.61  (not concave)
Iteration 69:  log likelihood = -129525.52  (not concave)
Iteration 70:  log likelihood = -129456.27  (not concave)
Iteration 71:  log likelihood = -129325.24  (not concave)
Iteration 72:  log likelihood = -129274.42  (not concave)
Iteration 73:  log likelihood = -128750.38  (not concave)
Iteration 74:  log likelihood = -128397.99  (not concave)
Iteration 75:  log likelihood = -128392.02  (not concave)
Iteration 76:  log likelihood = -128372.46  (not concave)
Iteration 77:  log likelihood = -128362.22  (not concave)
Iteration 78:  log likelihood = -128353.58  (not concave)
Iteration 79:  log likelihood = -128073.63  
Iteration 80:  log likelihood = -128065.02  (not concave)
Iteration 81:  log likelihood = -123888.61  (not concave)
Iteration 82:  log likelihood = -122581.08  (not concave)
Iteration 83:  log likelihood = -122511.39  (not concave)
Iteration 84:  log likelihood = -121413.65  
Iteration 85:  log likelihood = -121069.28  (not concave)
Iteration 86:  log likelihood = -121021.68  
Iteration 87:  log likelihood = -120937.51  (not concave)
Iteration 88:  log likelihood = -120849.41  
Iteration 89:  log likelihood = -120801.26  (not concave)
Iteration 90:  log likelihood = -113318.48  
Iteration 91:  log likelihood = -103880.67  
Iteration 92:  log likelihood = -103619.91  (not concave)
Iteration 93:  log likelihood = -103232.95  (not concave)
Iteration 94:  log likelihood = -102725.09  (not concave)
Iteration 95:  log likelihood = -101794.26  (not concave)
Iteration 96:  log likelihood = -101344.67  (not concave)
Iteration 97:  log likelihood = -98390.463  (not concave)
Iteration 98:  log likelihood = -97686.087  (not concave)
Iteration 99:  log likelihood = -97571.878  (not concave)
Iteration 100: log likelihood = -97419.464  (not concave)
Iteration 101: log likelihood = -97285.358  (not concave)
Iteration 102: log likelihood = -90537.353  (not concave)
Iteration 103: log likelihood = -82034.751  (not concave)
Iteration 104: log likelihood = -48683.831  
Iteration 105: log likelihood = -45353.478  
Iteration 106: log likelihood = -36865.477  
Iteration 107: log likelihood = -36441.404  
Iteration 108: log likelihood = -36436.992  
Iteration 109: log likelihood = -36436.981  
Iteration 110: log likelihood = -36436.981  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36436.981
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -1.151014   .0710298   -16.20   0.000     -1.29023   -1.011798
      _start |  -.0010431   .0002497    -4.18   0.000    -.0015325   -.0005536
       _cons |   9.677249   .0751585   128.76   0.000     9.529941    9.824557
       dap:1 |   1.171498   .0125942    93.02   0.000     1.146813    1.196182
------------------------------------------------------------------------------
 ***********
 Transition 4: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood = -186824.38  (not concave)
Iteration 1:   log likelihood = -39795.116  (not concave)
Iteration 2:   log likelihood = -37645.953  
Iteration 3:   log likelihood = -36873.706  (not concave)
Iteration 4:   log likelihood =  -36743.96  (not concave)
Iteration 5:   log likelihood = -36688.591  (not concave)
Iteration 6:   log likelihood = -36660.208  (not concave)
Iteration 7:   log likelihood = -36651.122  (not concave)
Iteration 8:   log likelihood = -36644.239  (not concave)
Iteration 9:   log likelihood = -36641.105  (not concave)
Iteration 10:  log likelihood = -36639.374  (not concave)
Iteration 11:  log likelihood = -36637.789  (not concave)
Iteration 12:  log likelihood = -36635.884  (not concave)
Iteration 13:  log likelihood =  -36635.29  (not concave)
Iteration 14:  log likelihood = -36634.821  (not concave)
Iteration 15:  log likelihood = -36634.388  (not concave)
Iteration 16:  log likelihood = -36633.969  (not concave)
Iteration 17:  log likelihood = -36633.524  (not concave)
Iteration 18:  log likelihood = -36633.031  (not concave)
Iteration 19:  log likelihood = -36632.173  (not concave)
Iteration 20:  log likelihood = -36610.818  
Iteration 21:  log likelihood = -36566.019  
Iteration 22:  log likelihood =  -36445.44  
Iteration 23:  log likelihood = -36435.898  
Iteration 24:  log likelihood = -36434.414  
Iteration 25:  log likelihood = -36434.402  
Iteration 26:  log likelihood = -36434.402  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36434.402
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -1.191831   .0742034   -16.06   0.000    -1.337267   -1.046395
      _start |   -.001044   .0002551    -4.09   0.000    -.0015439    -.000544
       _cons |   9.578186   .0902005   106.19   0.000     9.401396    9.754975
  log(sigma) |   1.230559   .0276054    44.58   0.000     1.176454    1.284665
       kappa |  -.1738741   .0778879    -2.23   0.026    -.3265317   -.0212166
------------------------------------------------------------------------------
 ***********
 Transition 4: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood = -44658.213  
Iteration 1:   log likelihood = -36635.561  
Iteration 2:   log likelihood = -36555.844  
Iteration 3:   log likelihood =  -36555.63  
Iteration 4:   log likelihood =  -36555.63  

Survival model                                  Number of obs     =     13,067
Log likelihood =  -36555.63
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4455861   .0317046    14.05   0.000     .3834462     .507726
      _start |   .0004663   .0001089     4.28   0.000      .000253    .0006797
       _cons |  -1.663772   .0302426   -55.01   0.000    -1.723046   -1.604498
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36497.126  
Iteration 2:   log likelihood = -36477.934  
Iteration 3:   log likelihood = -36477.886  
Iteration 4:   log likelihood = -36477.886  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36477.886
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4505657   .0317055    14.21   0.000     .3884241    .5127074
      _start |   .0004679   .0001087     4.31   0.000     .0002549    .0006809
       _cons |   -1.66719   .0302032   -55.20   0.000    -1.726388   -1.607993
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood =  -36502.22  
Iteration 2:   log likelihood = -36462.806  
Iteration 3:   log likelihood = -36462.519  
Iteration 4:   log likelihood = -36462.519  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36462.519
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4526356   .0317071    14.28   0.000     .3904908    .5147804
      _start |   .0004687   .0001086     4.32   0.000     .0002558    .0006815
       _cons |  -1.668235   .0301974   -55.24   0.000    -1.727421   -1.609049
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36510.765  
Iteration 2:   log likelihood = -36462.434  
Iteration 3:   log likelihood = -36461.504  
Iteration 4:   log likelihood = -36461.504  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36461.504
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4528696   .0317072    14.28   0.000     .3907246    .5150147
      _start |   .0004682   .0001086     4.31   0.000     .0002554     .000681
       _cons |  -1.668118   .0301955   -55.24   0.000    -1.727301   -1.608936
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36504.791  
Iteration 2:   log likelihood =  -36457.52  
Iteration 3:   log likelihood = -36456.447  
Iteration 4:   log likelihood = -36456.445  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36456.445
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4526706   .0317076    14.28   0.000     .3905248    .5148163
      _start |   .0004685   .0001086     4.31   0.000     .0002556    .0006813
       _cons |  -1.668046   .0301965   -55.24   0.000     -1.72723   -1.608862
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36497.554  
Iteration 2:   log likelihood = -36447.656  
Iteration 3:   log likelihood = -36446.393  
Iteration 4:   log likelihood = -36446.393  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36446.393
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4526317   .0317074    14.28   0.000     .3904863     .514777
      _start |   .0004685   .0001086     4.31   0.000     .0002557    .0006813
       _cons |  -1.668104   .0301956   -55.24   0.000    -1.727286   -1.608921
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36492.609  
Iteration 2:   log likelihood = -36443.046  
Iteration 3:   log likelihood =  -36441.73  
Iteration 4:   log likelihood = -36441.729  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36441.729
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4525709   .0317075    14.27   0.000     .3904254    .5147163
      _start |   .0004685   .0001086     4.31   0.000     .0002557    .0006813
       _cons |  -1.668179   .0301958   -55.25   0.000    -1.727361   -1.608996
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36490.704  
Iteration 2:   log likelihood =  -36441.37  
Iteration 3:   log likelihood = -36440.114  
Iteration 4:   log likelihood = -36440.114  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36440.114
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4525494   .0317075    14.27   0.000     .3904038    .5146949
      _start |   .0004685   .0001086     4.31   0.000     .0002557    .0006813
       _cons |  -1.668206   .0301959   -55.25   0.000    -1.727389   -1.609023
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36490.403  
Iteration 2:   log likelihood = -36440.686  
Iteration 3:   log likelihood = -36439.521  
Iteration 4:   log likelihood = -36439.521  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36439.521
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4525424   .0317075    14.27   0.000     .3903967     .514688
      _start |   .0004684   .0001086     4.31   0.000     .0002556    .0006812
       _cons |  -1.668194    .030196   -55.25   0.000    -1.727377   -1.609011
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 4: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -36807.954  
Iteration 1:   log likelihood = -36489.964  
Iteration 2:   log likelihood = -36439.665  
Iteration 3:   log likelihood = -36438.544  
Iteration 4:   log likelihood = -36438.544  

Survival model                                  Number of obs     =     13,067
Log likelihood = -36438.544
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .4525381   .0317075    14.27   0.000     .3903925    .5146838
      _start |   .0004683   .0001086     4.31   0.000     .0002555    .0006811
       _cons |   -1.66819   .0301961   -55.25   0.000    -1.727374   -1.609007
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family Cox tvc 1
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_1

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood =  -4196.746  
Iteration 2:   log likelihood = -4148.9495  
Iteration 3:   log likelihood = -4112.8326  
Iteration 4:   log likelihood = -4112.2581  
Iteration 5:   log likelihood = -4112.2577  
Iteration 6:   log likelihood = -4112.2577  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4112.2577
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0856801   .1146059     0.75   0.455    -.1389433    .3103036
      _start |  -.0000478   .0000832    -0.58   0.565    -.0002108    .0001152
tipo_de_pl~) |  -.1286463   .0422203    -3.05   0.002    -.2113965    -.045896
       _cons |   -8.27283   .1250585   -66.15   0.000     -8.51794    -8.02772
------------------------------------------------------------------------------
 ***********
 Transition 5: family Cox tvc 2
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_2

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.6479  
Iteration 2:   log likelihood = -4159.0383  
Iteration 3:   log likelihood = -4087.9878  
Iteration 4:   log likelihood = -4087.7181  
Iteration 5:   log likelihood = -4087.7179  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4087.7179
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0397516   .1188145    -0.33   0.738    -.2726237    .1931206
      _start |  -.0000934   .0000832    -1.12   0.261    -.0002564    .0000696
tipo_de_pl~1 |  -.3650733   .0629624    -5.80   0.000    -.4884773   -.2416693
tipo_de_pl~2 |   .3523262   .0609381     5.78   0.000     .2328898    .4717626
       _cons |  -8.230665   .1241996   -66.27   0.000    -8.474092   -7.987238
------------------------------------------------------------------------------
 ***********
 Transition 5: family Cox tvc 3
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_3

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.6416  
Iteration 2:   log likelihood = -4153.1556  
Iteration 3:   log likelihood = -4086.0818  
Iteration 4:   log likelihood = -4085.8292  
Iteration 5:   log likelihood =  -4085.829  

Survival model                                  Number of obs     =      1,518
Log likelihood =  -4085.829
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0910426   .1233089    -0.74   0.460    -.3327237    .1506384
      _start |  -.0000988   .0000832    -1.19   0.235    -.0002618    .0000643
tipo_de_pl~1 |  -.4381463   .0767416    -5.71   0.000    -.5885571   -.2877355
tipo_de_pl~2 |   .4006862   .0644646     6.22   0.000      .274338    .5270344
tipo_de_pl~3 |   .1484221   .0662013     2.24   0.025     .0186699    .2781743
       _cons |  -8.225758   .1241221   -66.27   0.000    -8.469033   -7.982483
------------------------------------------------------------------------------
 ***********
 Transition 5: family Cox tvc 4
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_4

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.6253  
Iteration 2:   log likelihood = -4184.9338  
Iteration 3:   log likelihood = -4085.9639  
Iteration 4:   log likelihood = -4085.1414  
Iteration 5:   log likelihood = -4085.1405  
Iteration 6:   log likelihood = -4085.1405  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4085.1405
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0772622    .123558    -0.63   0.532    -.3194315    .1649071
      _start |  -.0000982   .0000832    -1.18   0.238    -.0002612    .0000648
tipo_de_pl~1 |  -.4134842   .0793352    -5.21   0.000    -.5689783   -.2579901
tipo_de_pl~2 |   .3715975   .0661994     5.61   0.000      .241849    .5013459
tipo_de_pl~3 |   .1382431   .0683822     2.02   0.043     .0042164    .2722698
tipo_de_pl~4 |  -.0371441   .0629747    -0.59   0.555    -.1605722     .086284
       _cons |  -8.226284   .1241253   -66.27   0.000    -8.469565   -7.983003
------------------------------------------------------------------------------
 ***********
 Transition 5: family Cox tvc 5
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_5

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.6201  
Iteration 2:   log likelihood = -4196.3753  
Iteration 3:   log likelihood = -4085.8781  
Iteration 4:   log likelihood =  -4084.385  
Iteration 5:   log likelihood = -4084.3797  
Iteration 6:   log likelihood = -4084.3797  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4084.3797
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0902221   .1250801    -0.72   0.471    -.3353747    .1549305
      _start |  -.0000987   .0000832    -1.19   0.235    -.0002618    .0000644
tipo_de_pl~1 |  -.4303687   .0836495    -5.14   0.000    -.5943187   -.2664186
tipo_de_pl~2 |   .3869524   .0688261     5.62   0.000     .2520556    .5218492
tipo_de_pl~3 |   .1745535   .0698769     2.50   0.012     .0375974    .3115097
tipo_de_pl~4 |  -.0101891   .0664234    -0.15   0.878    -.1403765    .1199983
tipo_de_pl~5 |   .0510306   .0630863     0.81   0.419    -.0726163    .1746774
       _cons |  -8.225789   .1241403   -66.26   0.000      -8.4691   -7.982479
------------------------------------------------------------------------------
 ***********
 Transition 5: family Cox tvc 6
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_6

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.6198  
Iteration 2:   log likelihood = -4195.2408  
Iteration 3:   log likelihood = -4085.8014  
Iteration 4:   log likelihood = -4084.3823  
Iteration 5:   log likelihood = -4084.3772  
Iteration 6:   log likelihood = -4084.3772  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4084.3772
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0867664    .125452    -0.69   0.489    -.3326478    .1591151
      _start |  -.0000987   .0000832    -1.19   0.236    -.0002618    .0000644
tipo_de_pl~1 |  -.4258261   .0849628    -5.01   0.000    -.5923501   -.2593021
tipo_de_pl~2 |   .3827252   .0694537     5.51   0.000     .2465985     .518852
tipo_de_pl~3 |   .1747914   .0691509     2.53   0.011     .0392581    .3103248
tipo_de_pl~4 |  -.0125354    .065881    -0.19   0.849    -.1416598    .1165891
tipo_de_pl~5 |   .0387134   .0640243     0.60   0.545    -.0867719    .1641987
tipo_de_pl~6 |   .0076282   .0641487     0.12   0.905     -.118101    .1333574
       _cons |  -8.225806   .1241366   -66.26   0.000     -8.46911   -7.982503
------------------------------------------------------------------------------
 ***********
 Transition 5: family Cox tvc 7
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_7

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood =  -4196.619  
Iteration 2:   log likelihood = -4089.4057  
Iteration 3:   log likelihood = -4084.3508  
Iteration 4:   log likelihood = -4084.3005  
Iteration 5:   log likelihood = -4084.3005  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4084.3005
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0852631   .1256637    -0.68   0.497    -.3315593    .1610332
      _start |  -.0000986   .0000832    -1.19   0.236    -.0002617    .0000645
tipo_de_pl~1 |  -.4226367   .0858067    -4.93   0.000    -.5908148   -.2544587
tipo_de_pl~2 |   .3753912   .0700708     5.36   0.000     .2380548    .5127275
tipo_de_pl~3 |   .1779269   .0689864     2.58   0.010      .042716    .3131379
tipo_de_pl~4 |  -.0038279   .0659276    -0.06   0.954    -.1330436    .1253878
tipo_de_pl~5 |   .0166131   .0620277     0.27   0.789     -.104959    .1381851
tipo_de_pl~6 |   .0327708   .0631297     0.52   0.604    -.0909611    .1565027
tipo_de_pl~7 |   -.018609   .0673289    -0.28   0.782    -.1505712    .1133531
       _cons |  -8.225887   .1241362   -66.27   0.000     -8.46919   -7.982585
------------------------------------------------------------------------------
 ***********
 Transition 5: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.7692  
Iteration 2:   log likelihood = -4136.8632  
Iteration 3:   log likelihood = -4116.6068  
Iteration 4:   log likelihood = -4116.5874  
Iteration 5:   log likelihood = -4116.5874  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4116.5874
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1381356   .1127477     1.23   0.221    -.0828457     .359117
      _start |  -.0000198   .0000829    -0.24   0.812    -.0001823    .0001428
       _cons |  -8.299171   .1254874   -66.14   0.000    -8.545122   -8.053221
------------------------------------------------------------------------------
 ***********
 Transition 5: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1645934  
Iteration 1:   log likelihood = -4196.7643  (not concave)
Iteration 2:   log likelihood = -4125.4439  
Iteration 3:   log likelihood = -4112.1013  
Iteration 4:   log likelihood = -4111.4535  
Iteration 5:   log likelihood = -4111.4514  
Iteration 6:   log likelihood = -4111.4514  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4111.4514
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1381939   .1127249     1.23   0.220    -.0827427    .3591306
      _start |   -.000055   .0000833    -0.66   0.509    -.0002182    .0001083
       _cons |  -7.405436   .2957151   -25.04   0.000    -7.985027   -6.825845
  log(gamma) |  -.1267794     .04068    -3.12   0.002    -.2065108    -.047048
------------------------------------------------------------------------------
 ***********
 Transition 5: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -1.35e+156  (not concave)
Iteration 1:   log likelihood = -407830.41  (not concave)
Iteration 2:   log likelihood = -342577.55  (not concave)
Iteration 3:   log likelihood = -124659.44  (not concave)
Iteration 4:   log likelihood = -55125.637  
Iteration 5:   log likelihood = -53911.011  (backed up)
Iteration 6:   log likelihood = -24021.186  
Iteration 7:   log likelihood = -15461.807  
Iteration 8:   log likelihood = -5824.2933  
Iteration 9:   log likelihood = -4228.0875  
Iteration 10:  log likelihood = -4124.2201  
Iteration 11:  log likelihood = -4091.2601  
Iteration 12:  log likelihood = -4091.1446  
Iteration 13:  log likelihood = -4091.1446  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4091.1446
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1375253      .1127     1.22   0.222    -.0833626    .3584132
      _start |   -.000117   .0000833    -1.40   0.160    -.0002802    .0000463
       _cons |  -7.807106    .139662   -55.90   0.000    -8.080839   -7.533374
       gamma |  -.0005484   .0000822    -6.67   0.000    -.0007095   -.0003873
------------------------------------------------------------------------------
 ***********
 Transition 5: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood = -12739.194  (not concave)
Iteration 1:   log likelihood = -5226.2763  (not concave)
Iteration 2:   log likelihood = -4508.3101  (not concave)
Iteration 3:   log likelihood = -4294.6582  (not concave)
Iteration 4:   log likelihood = -4203.8101  
Iteration 5:   log likelihood = -4160.6343  
Iteration 6:   log likelihood = -4104.0082  
Iteration 7:   log likelihood = -4098.4453  
Iteration 8:   log likelihood = -4098.4137  
Iteration 9:   log likelihood = -4098.4137  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4098.4137
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    -.16738   .1325696    -1.26   0.207    -.4272117    .0924516
      _start |   .0001043   .0000964     1.08   0.279    -.0000846    .0002933
       _cons |   7.978929   .1505768    52.99   0.000     7.683804    8.274054
       dap:1 |   -.014601    .040107    -0.36   0.716    -.0932092    .0640072
------------------------------------------------------------------------------
 ***********
 Transition 5: family Logn
 ***********

Fitting full model:

Iteration 0:   log likelihood = -39955.065  (not concave)
Iteration 1:   log likelihood = -5334.0216  (not concave)
Iteration 2:   log likelihood = -4636.6059  (not concave)
Iteration 3:   log likelihood = -4394.3453  (not concave)
Iteration 4:   log likelihood = -4266.9233  
Iteration 5:   log likelihood = -4117.2691  
Iteration 6:   log likelihood = -4090.6535  
Iteration 7:   log likelihood = -4088.6395  
Iteration 8:   log likelihood = -4088.6328  
Iteration 9:   log likelihood = -4088.6328  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4088.6328
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1653743   .1358863    -1.22   0.224    -.4317066    .1009579
      _start |   .0001247   .0000979     1.27   0.203    -.0000671    .0003165
       _cons |   8.057017   .1572291    51.24   0.000     7.748854     8.36518
       dap:1 |   .5782226   .0368295    15.70   0.000     .5060381     .650407
------------------------------------------------------------------------------
 ***********
 Transition 5: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood = -20451.895  (not concave)
Iteration 1:   log likelihood = -4638.9706  (not concave)
Iteration 2:   log likelihood = -4380.5623  (not concave)
Iteration 3:   log likelihood = -4215.7601  (not concave)
Iteration 4:   log likelihood = -4131.0365  
Iteration 5:   log likelihood = -4103.7254  
Iteration 6:   log likelihood =  -4089.095  
Iteration 7:   log likelihood = -4087.8804  
Iteration 8:   log likelihood = -4087.8744  
Iteration 9:   log likelihood = -4087.8744  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4087.8744
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1630679    .137653    -1.18   0.236    -.4328627     .106727
      _start |   .0001306   .0000985     1.33   0.185    -.0000625    .0003237
       _cons |   7.962137   .1787041    44.55   0.000     7.611884    8.312391
  log(sigma) |   .6464819   .0637445    10.14   0.000     .5215449    .7714188
       kappa |  -.2123556   .1740077    -1.22   0.222    -.5534045    .1286933
------------------------------------------------------------------------------
 ***********
 Transition 5: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood = -5171.8829  
Iteration 1:   log likelihood = -4114.4716  
Iteration 2:   log likelihood = -4111.4606  
Iteration 3:   log likelihood = -4111.4514  
Iteration 4:   log likelihood = -4111.4514  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4111.4514
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1381939   .1127249     1.23   0.220    -.0827427    .3591306
      _start |   -.000055   .0000833    -0.66   0.509    -.0002182    .0001083
       _cons |  -1.599569   .1291788   -12.38   0.000    -1.852755   -1.346383
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4093.1079  
Iteration 2:   log likelihood = -4081.5349  
Iteration 3:   log likelihood = -4081.2711  
Iteration 4:   log likelihood = -4081.2709  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4081.2709
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1358146   .1127055     1.21   0.228    -.0850842    .3567134
      _start |  -.0001141   .0000834    -1.37   0.171    -.0002776    .0000494
       _cons |  -1.573293   .1286466   -12.23   0.000    -1.825435    -1.32115
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4083.9533  
Iteration 2:   log likelihood = -4076.1279  
Iteration 3:   log likelihood = -4075.9046  
Iteration 4:   log likelihood =  -4075.904  
Iteration 5:   log likelihood =  -4075.904  

Survival model                                  Number of obs     =      1,518
Log likelihood =  -4075.904
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1356648   .1127179     1.20   0.229    -.0852582    .3565878
      _start |  -.0001243   .0000835    -1.49   0.136    -.0002879    .0000393
       _cons |  -1.562654   .1286649   -12.15   0.000    -1.814833   -1.310476
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4083.6364  
Iteration 2:   log likelihood = -4075.5215  
Iteration 3:   log likelihood = -4075.3655  
Iteration 4:   log likelihood = -4075.3652  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4075.3652
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1357655   .1127185     1.20   0.228    -.0851587    .3566897
      _start |   -.000124   .0000835    -1.49   0.137    -.0002876    .0000396
       _cons |  -1.564384    .128718   -12.15   0.000    -1.816667   -1.312101
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4083.2889  
Iteration 2:   log likelihood = -4075.1438  
Iteration 3:   log likelihood = -4074.9853  
Iteration 4:   log likelihood = -4074.9852  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4074.9852
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1350735   .1127197     1.20   0.231    -.0858531        .356
      _start |  -.0001246   .0000835    -1.49   0.136    -.0002882    .0000391
       _cons |  -1.564306   .1287239   -12.15   0.000      -1.8166   -1.312012
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4083.3601  
Iteration 2:   log likelihood = -4075.1868  
Iteration 3:   log likelihood = -4075.0371  
Iteration 4:   log likelihood =  -4075.037  

Survival model                                  Number of obs     =      1,518
Log likelihood =  -4075.037
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1351504   .1127203     1.20   0.231    -.0857772    .3560781
      _start |  -.0001245   .0000835    -1.49   0.136    -.0002882    .0000391
       _cons |  -1.564456    .128732   -12.15   0.000    -1.816766   -1.312146
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood =  -4083.399  
Iteration 2:   log likelihood = -4075.1912  
Iteration 3:   log likelihood = -4075.0352  
Iteration 4:   log likelihood =  -4075.035  

Survival model                                  Number of obs     =      1,518
Log likelihood =  -4075.035
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1352305   .1127197     1.20   0.230     -.085696    .3561571
      _start |  -.0001244   .0000835    -1.49   0.136     -.000288    .0000393
       _cons |  -1.564789   .1287325   -12.16   0.000      -1.8171   -1.312478
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4083.1307  
Iteration 2:   log likelihood = -4074.8318  
Iteration 3:   log likelihood = -4074.6714  
Iteration 4:   log likelihood = -4074.6712  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4074.6712
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1351989   .1127191     1.20   0.230    -.0857265    .3561243
      _start |  -.0001243   .0000835    -1.49   0.137    -.0002879    .0000394
       _cons |  -1.564933   .1287278   -12.16   0.000    -1.817234   -1.312631
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4083.1558  
Iteration 2:   log likelihood = -4074.9511  
Iteration 3:   log likelihood = -4074.7923  
Iteration 4:   log likelihood = -4074.7921  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4074.7921
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1351137   .1127193     1.20   0.231     -.085812    .3560395
      _start |  -.0001242   .0000835    -1.49   0.137    -.0002879    .0000394
       _cons |  -1.564724   .1287303   -12.16   0.000    -1.817031   -1.312418
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 5: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -4208.4469  
Iteration 1:   log likelihood = -4083.0367  
Iteration 2:   log likelihood = -4074.6876  
Iteration 3:   log likelihood = -4074.5311  
Iteration 4:   log likelihood = -4074.5309  

Survival model                                  Number of obs     =      1,518
Log likelihood = -4074.5309
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .135145   .1127194     1.20   0.231    -.0857809    .3560709
      _start |  -.0001244   .0000835    -1.49   0.136     -.000288    .0000393
       _cons |  -1.564661   .1287302   -12.15   0.000    -1.816968   -1.312354
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family Cox tvc 1
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_1

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood =  -12237.16  
Iteration 2:   log likelihood = -12143.317  
Iteration 3:   log likelihood = -11973.038  
Iteration 4:   log likelihood = -11967.857  
Iteration 5:   log likelihood = -11967.829  
Iteration 6:   log likelihood = -11967.829  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11967.829
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0967615   .0584232    -1.66   0.098    -.2112689     .017746
      _start |  -.0001266   .0000536    -2.36   0.018    -.0002317   -.0000215
tipo_de_pl~) |  -.1905516   .0273642    -6.96   0.000    -.2441845   -.1369186
       _cons |   -8.10523   .0540938  -149.84   0.000    -8.211252   -7.999208
------------------------------------------------------------------------------
 ***********
 Transition 6: family Cox tvc 2
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_2

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12236.886  
Iteration 2:   log likelihood = -12151.743  
Iteration 3:   log likelihood = -11899.241  
Iteration 4:   log likelihood = -11897.247  
Iteration 5:   log likelihood = -11897.245  
Iteration 6:   log likelihood = -11897.245  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11897.245
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2753583   .0642968    -4.28   0.000    -.4013776   -.1493389
      _start |   -.000164   .0000536    -3.06   0.002    -.0002691    -.000059
tipo_de_pl~1 |  -.4941235   .0439797   -11.24   0.000    -.5803221   -.4079248
tipo_de_pl~2 |    .389864   .0408293     9.55   0.000       .30984    .4698879
       _cons |  -8.081403   .0537318  -150.40   0.000    -8.186716   -7.976091
------------------------------------------------------------------------------
 ***********
 Transition 6: family Cox tvc 3
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_3

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12236.886  
Iteration 2:   log likelihood = -12141.019  
Iteration 3:   log likelihood = -11897.988  
Iteration 4:   log likelihood = -11895.962  
Iteration 5:   log likelihood =  -11895.96  
Iteration 6:   log likelihood =  -11895.96  

Survival model                                  Number of obs     =      4,046
Log likelihood =  -11895.96
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.3090343   .0683302    -4.52   0.000     -.442959   -.1751096
      _start |  -.0001664   .0000536    -3.10   0.002    -.0002715   -.0000613
tipo_de_pl~1 |  -.5423997   .0538567   -10.07   0.000    -.6479569   -.4368425
tipo_de_pl~2 |   .4194511   .0439765     9.54   0.000     .3332587    .5056434
tipo_de_pl~3 |   .0919846   .0434553     2.12   0.034     .0068137    .1771554
       _cons |  -8.079927   .0537211  -150.41   0.000    -8.185219   -7.974636
------------------------------------------------------------------------------
 ***********
 Transition 6: family Cox tvc 4
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_4

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12236.835  
Iteration 2:   log likelihood = -11909.211  
Iteration 3:   log likelihood = -11894.042  
Iteration 4:   log likelihood = -11893.897  
Iteration 5:   log likelihood = -11893.897  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11893.897
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2887206   .0683103    -4.23   0.000    -.4226063   -.1548348
      _start |  -.0001657   .0000536    -3.09   0.002    -.0002708   -.0000607
tipo_de_pl~1 |   -.512192   .0546456    -9.37   0.000    -.6192955   -.4050885
tipo_de_pl~2 |   .3836542   .0449366     8.54   0.000       .29558    .4717284
tipo_de_pl~3 |   .0766242   .0443689     1.73   0.084    -.0103372    .1635856
tipo_de_pl~4 |  -.0621222   .0421991    -1.47   0.141     -.144831    .0205866
       _cons |  -8.080336   .0537226  -150.41   0.000    -8.185631   -7.975042
------------------------------------------------------------------------------
 ***********
 Transition 6: family Cox tvc 5
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_5

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12236.824  
Iteration 2:   log likelihood = -11909.406  
Iteration 3:   log likelihood = -11893.281  
Iteration 4:   log likelihood = -11893.111  
Iteration 5:   log likelihood = -11893.111  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11893.111
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2992511   .0694907    -4.31   0.000    -.4354505   -.1630518
      _start |  -.0001662   .0000536    -3.10   0.002    -.0002713   -.0000611
tipo_de_pl~1 |  -.5265659   .0572595    -9.20   0.000    -.6387925   -.4143394
tipo_de_pl~2 |   .3974644   .0467389     8.50   0.000     .3058578    .4890711
tipo_de_pl~3 |   .1105995   .0452539     2.44   0.015     .0219034    .1992956
tipo_de_pl~4 |  -.0362187   .0442006    -0.82   0.413    -.1228502    .0504128
tipo_de_pl~5 |   .0282345   .0424484     0.67   0.506    -.0549629    .1114319
       _cons |  -8.080052   .0537216  -150.41   0.000    -8.185345    -7.97476
------------------------------------------------------------------------------
 ***********
 Transition 6: family Cox tvc 6
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_6

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12236.823  
Iteration 2:   log likelihood = -11909.052  
Iteration 3:   log likelihood = -11892.839  
Iteration 4:   log likelihood = -11892.646  
Iteration 5:   log likelihood = -11892.646  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11892.646
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.3052905    .070312    -4.34   0.000    -.4430995   -.1674814
      _start |  -.0001662   .0000536    -3.10   0.002    -.0002713   -.0000611
tipo_de_pl~1 |  -.5368912   .0593092    -9.05   0.000    -.6531352   -.4206473
tipo_de_pl~2 |   .4047764   .0484298     8.36   0.000     .3098558     .499697
tipo_de_pl~3 |   .1278961   .0462644     2.76   0.006     .0372195    .2185727
tipo_de_pl~4 |   -.017363   .0442914    -0.39   0.695    -.1041726    .0694466
tipo_de_pl~5 |   .0129744    .043192     0.30   0.764    -.0716803    .0976291
tipo_de_pl~6 |   .0552581   .0438535     1.26   0.208    -.0306931    .1412094
       _cons |  -8.080048   .0537224  -150.40   0.000    -8.185342   -7.974754
------------------------------------------------------------------------------
 ***********
 Transition 6: family Cox tvc 7
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_7

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12236.822  
Iteration 2:   log likelihood = -11909.314  
Iteration 3:   log likelihood = -11892.873  
Iteration 4:   log likelihood = -11892.675  
Iteration 5:   log likelihood = -11892.675  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11892.675
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.3027217   .0703727    -4.30   0.000    -.4406496   -.1647938
      _start |  -.0001662   .0000536    -3.10   0.002    -.0002713   -.0000611
tipo_de_pl~1 |  -.5329674   .0597066    -8.93   0.000    -.6499903   -.4159446
tipo_de_pl~2 |    .399105   .0487205     8.19   0.000     .3036146    .4945954
tipo_de_pl~3 |   .1304812   .0461542     2.83   0.005     .0400206    .2209419
tipo_de_pl~4 |  -.0128048   .0439564    -0.29   0.771    -.0989577    .0733481
tipo_de_pl~5 |  -.0103544   .0415124    -0.25   0.803    -.0917172    .0710084
tipo_de_pl~6 |   .0449152   .0429599     1.05   0.296    -.0392845     .129115
tipo_de_pl~7 |    .018299   .0456335     0.40   0.688     -.071141    .1077389
       _cons |  -8.080055   .0537221  -150.40   0.000    -8.185348   -7.974761
------------------------------------------------------------------------------
 ***********
 Transition 6: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood =  -12237.28  
Iteration 2:   log likelihood = -12057.004  
Iteration 3:   log likelihood = -11989.698  
Iteration 4:   log likelihood = -11989.614  
Iteration 5:   log likelihood = -11989.614  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11989.614
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0125952   .0561876    -0.22   0.823    -.1227209    .0975305
      _start |  -.0000973   .0000537    -1.81   0.070    -.0002025    7.92e-06
       _cons |  -8.124106   .0543984  -149.34   0.000    -8.230725   -8.017487
------------------------------------------------------------------------------
 ***********
 Transition 6: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -4698233  
Iteration 1:   log likelihood = -12237.244  (not concave)
Iteration 2:   log likelihood = -12030.932  
Iteration 3:   log likelihood = -11964.336  
Iteration 4:   log likelihood = -11953.817  
Iteration 5:   log likelihood = -11953.609  
Iteration 6:   log likelihood = -11953.609  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11953.609
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0067492   .0561891    -0.12   0.904    -.1168779    .1033794
      _start |  -.0001501   .0000537    -2.80   0.005    -.0002554   -.0000449
       _cons |  -6.789251   .1573433   -43.15   0.000    -7.097638   -6.480863
  log(gamma) |  -.1969989   .0242269    -8.13   0.000    -.2444827    -.149515
------------------------------------------------------------------------------
 ***********
 Transition 6: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -1.35e+157  
Iteration 1:   log likelihood = -587696.17  (not concave)
Iteration 2:   log likelihood = -493664.79  (not concave)
Iteration 3:   log likelihood =  -454171.6  (not concave)
Iteration 4:   log likelihood = -446904.86  (not concave)
Iteration 5:   log likelihood = -438565.62  (not concave)
Iteration 6:   log likelihood = -436989.68  (not concave)
Iteration 7:   log likelihood = -427477.44  (not concave)
Iteration 8:   log likelihood = -425550.34  (not concave)
Iteration 9:   log likelihood = -424185.56  (not concave)
Iteration 10:  log likelihood = -416967.53  (not concave)
Iteration 11:  log likelihood = -415337.86  (not concave)
Iteration 12:  log likelihood = -413377.37  (not concave)
Iteration 13:  log likelihood = -402091.42  (not concave)
Iteration 14:  log likelihood = -261575.26  (not concave)
Iteration 15:  log likelihood = -177871.18  (not concave)
Iteration 16:  log likelihood = -149411.79  (not concave)
Iteration 17:  log likelihood = -137458.85  (not concave)
Iteration 18:  log likelihood = -128661.48  (not concave)
Iteration 19:  log likelihood = -115488.57  (not concave)
Iteration 20:  log likelihood = -107641.66  (not concave)
Iteration 21:  log likelihood = -90223.812  (not concave)
Iteration 22:  log likelihood = -61352.192  (not concave)
Iteration 23:  log likelihood = -51535.841  (not concave)
Iteration 24:  log likelihood = -43660.936  (not concave)
Iteration 25:  log likelihood = -42035.692  (not concave)
Iteration 26:  log likelihood =  -40977.56  (not concave)
Iteration 27:  log likelihood = -38437.853  (not concave)
Iteration 28:  log likelihood = -25629.511  
Iteration 29:  log likelihood = -19385.273  (backed up)
Iteration 30:  log likelihood = -15834.068  (backed up)
Iteration 31:  log likelihood = -13502.588  
Iteration 32:  log likelihood = -11971.122  
Iteration 33:  log likelihood =  -11874.62  
Iteration 34:  log likelihood = -11869.432  
Iteration 35:  log likelihood = -11869.422  
Iteration 36:  log likelihood = -11869.422  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11869.422
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0027226   .0561847     0.05   0.961    -.1073974    .1128427
      _start |  -.0002182   .0000537    -4.06   0.000    -.0003234   -.0001129
       _cons |  -7.531436   .0639671  -117.74   0.000     -7.65681   -7.406063
       gamma |  -.0007024   .0000494   -14.21   0.000    -.0007993   -.0006055
------------------------------------------------------------------------------
 ***********
 Transition 6: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood = -34906.759  (not concave)
Iteration 1:   log likelihood =  -15442.37  (not concave)
Iteration 2:   log likelihood = -13154.577  (not concave)
Iteration 3:   log likelihood = -12217.807  
Iteration 4:   log likelihood = -11992.741  
Iteration 5:   log likelihood = -11911.445  
Iteration 6:   log likelihood = -11909.827  
Iteration 7:   log likelihood = -11909.825  
Iteration 8:   log likelihood = -11909.825  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11909.825
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0062035   .0720495     0.09   0.931    -.1350109     .147418
      _start |   .0002447   .0000662     3.70   0.000     .0001149    .0003744
       _cons |   7.789356   .0718557   108.40   0.000     7.648522    7.930191
       dap:1 |    .048155   .0237013     2.03   0.042     .0017013    .0946088
------------------------------------------------------------------------------
 ***********
 Transition 6: family Logn
 ***********

Fitting full model:

Iteration 0:   log likelihood = -109083.81  (not concave)
Iteration 1:   log likelihood = -15906.514  (not concave)
Iteration 2:   log likelihood = -14083.484  (not concave)
Iteration 3:   log likelihood = -13134.287  (not concave)
Iteration 4:   log likelihood = -12662.678  
Iteration 5:   log likelihood = -12093.914  
Iteration 6:   log likelihood = -11903.816  
Iteration 7:   log likelihood = -11868.399  
Iteration 8:   log likelihood = -11868.133  
Iteration 9:   log likelihood = -11868.133  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11868.133
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0099686   .0731607     0.14   0.892    -.1334238    .1533611
      _start |   .0002655   .0000653     4.07   0.000     .0001375    .0003935
       _cons |    7.85147    .074774   105.00   0.000     7.704916    7.998024
       dap:1 |   .6170645   .0218326    28.26   0.000     .5742734    .6598557
------------------------------------------------------------------------------
 ***********
 Transition 6: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood = -56414.941  (not concave)
Iteration 1:   log likelihood = -13209.424  (not concave)
Iteration 2:   log likelihood = -12567.897  
Iteration 3:   log likelihood =  -12234.54  (not concave)
Iteration 4:   log likelihood = -12089.318  (not concave)
Iteration 5:   log likelihood = -12035.616  (not concave)
Iteration 6:   log likelihood =  -12007.89  (not concave)
Iteration 7:   log likelihood = -11966.815  (not concave)
Iteration 8:   log likelihood = -11949.394  (not concave)
Iteration 9:   log likelihood = -11934.597  (not concave)
Iteration 10:  log likelihood = -11922.066  
Iteration 11:  log likelihood = -11870.133  
Iteration 12:  log likelihood = -11853.124  
Iteration 13:  log likelihood = -11852.532  
Iteration 14:  log likelihood = -11852.529  
Iteration 15:  log likelihood = -11852.529  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11852.529
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0174357   .0753971     0.23   0.817    -.1303398    .1652113
      _start |   .0002853   .0000643     4.43   0.000     .0001592    .0004114
       _cons |   7.484488   .1055154    70.93   0.000     7.277682    7.691295
  log(sigma) |   .7668758   .0289333    26.50   0.000     .7101675    .8235841
       kappa |  -.6426607   .1146747    -5.60   0.000    -.8674189   -.4179024
------------------------------------------------------------------------------
 ***********
 Transition 6: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood = -14589.835  
Iteration 1:   log likelihood = -11956.534  
Iteration 2:   log likelihood = -11953.615  
Iteration 3:   log likelihood = -11953.609  
Iteration 4:   log likelihood = -11953.609  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11953.609
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0067492   .0561891    -0.12   0.904    -.1168779    .1033795
      _start |  -.0001501   .0000537    -2.80   0.005    -.0002554   -.0000449
       _cons |  -1.312042   .0563125   -23.30   0.000    -1.422412   -1.201671
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11867.445  
Iteration 2:   log likelihood = -11830.326  
Iteration 3:   log likelihood = -11828.867  
Iteration 4:   log likelihood = -11828.865  
Iteration 5:   log likelihood = -11828.865  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11828.865
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0011589   .0561866     0.02   0.984    -.1089649    .1112826
      _start |  -.0002192   .0000537    -4.08   0.000    -.0003244    -.000114
       _cons |  -1.296586   .0560542   -23.13   0.000     -1.40645   -1.186722
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11844.762  
Iteration 2:   log likelihood = -11823.771  
Iteration 3:   log likelihood = -11822.678  
Iteration 4:   log likelihood = -11822.675  
Iteration 5:   log likelihood = -11822.675  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11822.675
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0024358   .0561874     0.04   0.965    -.1076896    .1125611
      _start |  -.0002249   .0000537    -4.18   0.000    -.0003303   -.0001196
       _cons |  -1.290287   .0560689   -23.01   0.000     -1.40018   -1.180394
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11844.109  
Iteration 2:   log likelihood = -11819.672  
Iteration 3:   log likelihood = -11819.028  
Iteration 4:   log likelihood = -11819.027  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11819.027
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .001851   .0561889     0.03   0.974    -.1082773    .1119793
      _start |  -.0002238   .0000537    -4.16   0.000    -.0003291   -.0001184
       _cons |  -1.291511    .056075   -23.03   0.000    -1.401416   -1.181606
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11844.181  
Iteration 2:   log likelihood = -11819.871  
Iteration 3:   log likelihood = -11819.167  
Iteration 4:   log likelihood = -11819.166  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11819.166
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0019339   .0561883     0.03   0.973    -.1081933     .112061
      _start |  -.0002241   .0000537    -4.17   0.000    -.0003295   -.0001188
       _cons |  -1.291698   .0560779   -23.03   0.000    -1.401609   -1.181787
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11843.601  
Iteration 2:   log likelihood = -11818.884  
Iteration 3:   log likelihood = -11818.241  
Iteration 4:   log likelihood =  -11818.24  

Survival model                                  Number of obs     =      4,046
Log likelihood =  -11818.24
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0020532   .0561881     0.04   0.971    -.1080735    .1121799
      _start |  -.0002245   .0000538    -4.18   0.000    -.0003299   -.0001192
       _cons |   -1.29124   .0560785   -23.03   0.000    -1.401152   -1.181328
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11843.702  
Iteration 2:   log likelihood = -11819.034  
Iteration 3:   log likelihood = -11818.367  
Iteration 4:   log likelihood = -11818.367  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11818.367
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0020569   .0561881     0.04   0.971    -.1080697    .1121835
      _start |  -.0002245   .0000538    -4.18   0.000    -.0003299   -.0001192
       _cons |  -1.291313   .0560792   -23.03   0.000    -1.401226   -1.181399
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11843.512  
Iteration 2:   log likelihood = -11818.707  
Iteration 3:   log likelihood = -11818.051  
Iteration 4:   log likelihood =  -11818.05  

Survival model                                  Number of obs     =      4,046
Log likelihood =  -11818.05
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0020607   .0561884     0.04   0.971    -.1080666    .1121879
      _start |  -.0002245   .0000538    -4.18   0.000    -.0003299   -.0001192
       _cons |  -1.291413   .0560807   -23.03   0.000    -1.401329   -1.181497
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11843.498  
Iteration 2:   log likelihood = -11818.488  
Iteration 3:   log likelihood = -11817.796  
Iteration 4:   log likelihood = -11817.795  

Survival model                                  Number of obs     =      4,046
Log likelihood = -11817.795
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0020566   .0561885     0.04   0.971    -.1080709    .1121841
      _start |  -.0002245   .0000538    -4.18   0.000    -.0003299   -.0001192
       _cons |  -1.291524   .0560815   -23.03   0.000    -1.401441   -1.181606
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 6: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -12145.901  
Iteration 1:   log likelihood = -11843.414  
Iteration 2:   log likelihood = -11818.256  
Iteration 3:   log likelihood = -11817.541  
Iteration 4:   log likelihood =  -11817.54  

Survival model                                  Number of obs     =      4,046
Log likelihood =  -11817.54
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0020494    .056189     0.04   0.971    -.1080791    .1121778
      _start |  -.0002245   .0000538    -4.18   0.000    -.0003298   -.0001191
       _cons |  -1.291662   .0560823   -23.03   0.000    -1.401582   -1.181743
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family Cox tvc 1
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_1

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2726  
Iteration 2:   log likelihood = -1177.5907  
Iteration 3:   log likelihood = -1155.0981  
Iteration 4:   log likelihood = -1154.8204  
Iteration 5:   log likelihood = -1154.8201  
Iteration 6:   log likelihood = -1154.8201  

Survival model                                  Number of obs     =        447
Log likelihood = -1154.8201
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1180489   .2101364    -0.56   0.574    -.5299087    .2938109
      _start |   .0002347   .0001424     1.65   0.099    -.0000444    .0005138
tipo_de_pl~) |  -.1014059   .0812196    -1.25   0.212    -.2605934    .0577817
       _cons |  -8.364178   .2704635   -30.93   0.000    -8.894276   -7.834079
------------------------------------------------------------------------------
 ***********
 Transition 7: family Cox tvc 2
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_2

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2272  
Iteration 2:   log likelihood = -1145.1711  
Iteration 3:   log likelihood = -1143.6896  
Iteration 4:   log likelihood = -1143.6742  
Iteration 5:   log likelihood = -1143.6742  

Survival model                                  Number of obs     =        447
Log likelihood = -1143.6742
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2996398   .2224553    -1.35   0.178    -.7356442    .1363645
      _start |   .0001535   .0001419     1.08   0.279    -.0001245    .0004316
tipo_de_pl~1 |  -.4751836   .1368559    -3.47   0.001    -.7434164   -.2069509
tipo_de_pl~2 |   .4494369   .1141641     3.94   0.000     .2256794    .6731945
       _cons |  -8.250035   .2670283   -30.90   0.000    -8.773401    -7.72667
------------------------------------------------------------------------------
 ***********
 Transition 7: family Cox tvc 3
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_3

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood =  -1186.226  
Iteration 2:   log likelihood = -1184.6977  
Iteration 3:   log likelihood = -1143.4123  
Iteration 4:   log likelihood = -1143.0585  
Iteration 5:   log likelihood = -1143.0576  
Iteration 6:   log likelihood = -1143.0576  

Survival model                                  Number of obs     =        447
Log likelihood = -1143.0576
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.3616451   .2342148    -1.54   0.123    -.8206977    .0974075
      _start |    .000152   .0001421     1.07   0.285    -.0001265    .0004305
tipo_de_pl~1 |  -.5530488   .1635006    -3.38   0.001    -.8735041   -.2325935
tipo_de_pl~2 |   .5172267   .1318981     3.92   0.000     .2587112    .7757421
tipo_de_pl~3 |   .1528871   .1131062     1.35   0.176    -.0687971    .3745712
       _cons |  -8.247901    .267196   -30.87   0.000    -8.771595   -7.724206
------------------------------------------------------------------------------
 ***********
 Transition 7: family Cox tvc 4
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_4

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2234  
Iteration 2:   log likelihood = -1178.2068  
Iteration 3:   log likelihood = -1139.8382  
Iteration 4:   log likelihood = -1139.5178  
Iteration 5:   log likelihood = -1139.5172  
Iteration 6:   log likelihood = -1139.5172  

Survival model                                  Number of obs     =        447
Log likelihood = -1139.5172
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   -.561197   .2677189    -2.10   0.036    -1.085916   -.0364776
      _start |   .0001497   .0001422     1.05   0.292     -.000129    .0004283
tipo_de_pl~1 |   -.803555   .2266655    -3.55   0.000    -1.247811   -.3592989
tipo_de_pl~2 |   .7037368   .1802368     3.90   0.000     .3504792    1.056995
tipo_de_pl~3 |   .3173978   .1491151     2.13   0.033     .0251376    .6096581
tipo_de_pl~4 |   .3527289   .1308584     2.70   0.007     .0962512    .6092065
       _cons |  -8.244644   .2671777   -30.86   0.000    -8.768302   -7.720985
------------------------------------------------------------------------------
 ***********
 Transition 7: family Cox tvc 5
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_5

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood =  -1186.223  
Iteration 2:   log likelihood =  -1179.182  
Iteration 3:   log likelihood = -1139.5362  
Iteration 4:   log likelihood = -1139.1632  
Iteration 5:   log likelihood = -1139.1617  
Iteration 6:   log likelihood = -1139.1617  

Survival model                                  Number of obs     =        447
Log likelihood = -1139.1617
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.5779669   .2834543    -2.04   0.041    -1.133527   -.0224068
      _start |   .0001501   .0001422     1.06   0.291    -.0001287    .0004289
tipo_de_pl~1 |  -.8208155   .2597682    -3.16   0.002    -1.329952   -.3116791
tipo_de_pl~2 |   .7166078   .2019157     3.55   0.000     .3208604    1.112355
tipo_de_pl~3 |   .2815349   .1628248     1.73   0.084    -.0375959    .6006657
tipo_de_pl~4 |   .4129678   .1498482     2.76   0.006     .1192707    .7066649
tipo_de_pl~5 |   .1428644   .1455907     0.98   0.326    -.1424881    .4282168
       _cons |  -8.245283    .267287   -30.85   0.000    -8.769156    -7.72141
------------------------------------------------------------------------------
 ***********
 Transition 7: family Cox tvc 6
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_6

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2199  
Iteration 2:   log likelihood = -1143.1728  
Iteration 3:   log likelihood = -1139.5189  
Iteration 4:   log likelihood = -1139.1728  
Iteration 5:   log likelihood = -1139.1708  
Iteration 6:   log likelihood = -1139.1708  

Survival model                                  Number of obs     =        447
Log likelihood = -1139.1708
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.5982774   .2943935    -2.03   0.042    -1.175278   -.0212767
      _start |   .0001499   .0001422     1.05   0.292    -.0001289    .0004286
tipo_de_pl~1 |  -.8505388   .2784315    -3.05   0.002    -1.396255    -.304823
tipo_de_pl~2 |   .7366585   .2175136     3.39   0.001     .3103396    1.162977
tipo_de_pl~3 |    .269958    .167112     1.62   0.106    -.0575756    .5974916
tipo_de_pl~4 |   .4061113   .1591933     2.55   0.011      .094098    .7181245
tipo_de_pl~5 |   .2404266    .147602     1.63   0.103    -.0488679    .5297212
tipo_de_pl~6 |   .0818242   .1298877     0.63   0.529     -.172751    .3363994
       _cons |  -8.244904   .2672625   -30.85   0.000    -8.768729   -7.721079
------------------------------------------------------------------------------
 ***********
 Transition 7: family Cox tvc 7
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_7

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2046  
Iteration 2:   log likelihood = -1141.0261  
Iteration 3:   log likelihood = -1136.6735  
Iteration 4:   log likelihood = -1136.0436  
Iteration 5:   log likelihood = -1136.0334  
Iteration 6:   log likelihood = -1136.0334  

Survival model                                  Number of obs     =        447
Log likelihood = -1136.0334
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.7981865   .3499668    -2.28   0.023    -1.484109   -.1122642
      _start |   .0001468   .0001423     1.03   0.302    -.0001321    .0004257
tipo_de_pl~1 |  -1.098035   .3646811    -3.01   0.003    -1.812796   -.3832726
tipo_de_pl~2 |   .9304417   .2784384     3.34   0.001     .3847124    1.476171
tipo_de_pl~3 |   .4277389   .2061853     2.07   0.038     .0236231    .8318547
tipo_de_pl~4 |   .5680791   .2002815     2.84   0.005     .1755345    .9606237
tipo_de_pl~5 |    .444868   .1763272     2.52   0.012      .099273    .7904629
tipo_de_pl~6 |   .1269612   .1506456     0.84   0.399    -.1682988    .4222213
tipo_de_pl~7 |   .3042154   .1351081     2.25   0.024     .0394083    .5690224
       _cons |  -8.240647   .2671948   -30.84   0.000    -8.764339   -7.716954
------------------------------------------------------------------------------
 ***********
 Transition 7: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood = -1186.2767  
Iteration 2:   log likelihood = -1174.3762  
Iteration 3:   log likelihood = -1155.7225  
Iteration 4:   log likelihood = -1155.5581  
Iteration 5:   log likelihood = -1155.5579  
Iteration 6:   log likelihood = -1155.5579  

Survival model                                  Number of obs     =        447
Log likelihood = -1155.5579
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |     -.0779   .2067539    -0.38   0.706    -.4831302    .3273303
      _start |   .0002734   .0001399     1.95   0.051    -7.95e-07    .0005476
       _cons |  -8.419392   .2692333   -31.27   0.000     -8.94708   -7.891705
------------------------------------------------------------------------------
 ***********
 Transition 7: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =    -424351  
Iteration 1:   log likelihood =  -1186.276  (not concave)
Iteration 2:   log likelihood = -1157.1507  
Iteration 3:   log likelihood = -1155.6125  
Iteration 4:   log likelihood = -1154.8548  
Iteration 5:   log likelihood =  -1154.846  
Iteration 6:   log likelihood =  -1154.846  

Survival model                                  Number of obs     =        447
Log likelihood =  -1154.846
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0794336     .20674    -0.38   0.701    -.4846366    .3257694
      _start |    .000233   .0001428     1.63   0.103    -.0000469    .0005128
       _cons |  -7.757432   .6023376   -12.88   0.000    -8.937992   -6.576872
  log(gamma) |  -.0888929   .0759702    -1.17   0.242    -.2377918     .060006
------------------------------------------------------------------------------
 ***********
 Transition 7: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -2.57e+139  (not concave)
Iteration 1:   log likelihood = -86806.938  (not concave)
Iteration 2:   log likelihood = -59028.718  (not concave)
Iteration 3:   log likelihood = -40139.528  (not concave)
Iteration 4:   log likelihood = -33718.583  (not concave)
Iteration 5:   log likelihood = -31183.809  (not concave)
Iteration 6:   log likelihood = -17184.796  (not concave)
Iteration 7:   log likelihood = -14460.113  (not concave)
Iteration 8:   log likelihood = -13096.789  (not concave)
Iteration 9:   log likelihood = -12329.012  (not concave)
Iteration 10:  log likelihood = -10026.038  (not concave)
Iteration 11:  log likelihood = -8782.1778  (not concave)
Iteration 12:  log likelihood = -8479.5974  (not concave)
Iteration 13:  log likelihood = -8111.9132  (not concave)
Iteration 14:  log likelihood = -8000.0294  (not concave)
Iteration 15:  log likelihood = -7885.8275  (not concave)
Iteration 16:  log likelihood = -7810.6259  (not concave)
Iteration 17:  log likelihood = -7724.3157  (not concave)
Iteration 18:  log likelihood = -6652.0009  (not concave)
Iteration 19:  log likelihood = -5587.7731  (not concave)
Iteration 20:  log likelihood = -5038.5223  (not concave)
Iteration 21:  log likelihood =  -4898.005  (not concave)
Iteration 22:  log likelihood = -4855.3356  (not concave)
Iteration 23:  log likelihood = -4496.8165  (not concave)
Iteration 24:  log likelihood = -4152.8594  (not concave)
Iteration 25:  log likelihood = -4119.8115  (not concave)
Iteration 26:  log likelihood = -4016.7486  (not concave)
Iteration 27:  log likelihood = -3954.1306  (not concave)
Iteration 28:  log likelihood = -3936.9995  (not concave)
Iteration 29:  log likelihood = -3922.1473  (not concave)
Iteration 30:  log likelihood = -3908.4544  (not concave)
Iteration 31:  log likelihood =  -3892.035  (not concave)
Iteration 32:  log likelihood = -3866.9544  (not concave)
Iteration 33:  log likelihood = -3857.1423  (not concave)
Iteration 34:  log likelihood = -3846.8019  (not concave)
Iteration 35:  log likelihood = -3830.5856  (not concave)
Iteration 36:  log likelihood = -3813.9385  (not concave)
Iteration 37:  log likelihood = -2471.9845  (not concave)
Iteration 38:  log likelihood = -2180.7917  (not concave)
Iteration 39:  log likelihood = -2118.2788  (not concave)
Iteration 40:  log likelihood = -2089.0116  (not concave)
Iteration 41:  log likelihood = -2065.3027  (not concave)
Iteration 42:  log likelihood = -2054.8679  (not concave)
Iteration 43:  log likelihood = -2043.7192  (not concave)
Iteration 44:  log likelihood = -2032.0832  (not concave)
Iteration 45:  log likelihood = -2011.5255  (not concave)
Iteration 46:  log likelihood = -1994.3246  (not concave)
Iteration 47:  log likelihood = -1978.0819  (not concave)
Iteration 48:  log likelihood = -1945.2613  (not concave)
Iteration 49:  log likelihood = -1877.9271  (not concave)
Iteration 50:  log likelihood = -1813.9853  (not concave)
Iteration 51:  log likelihood = -1776.3579  (not concave)
Iteration 52:  log likelihood = -1765.7407  (not concave)
Iteration 53:  log likelihood = -1746.5514  (not concave)
Iteration 54:  log likelihood = -1730.4757  (not concave)
Iteration 55:  log likelihood = -1718.5979  
Iteration 56:  log likelihood = -1340.1248  (backed up)
Iteration 57:  log likelihood = -1180.3863  (backed up)
Iteration 58:  log likelihood =  -1149.682  
Iteration 59:  log likelihood = -1147.5828  
Iteration 60:  log likelihood = -1147.5808  
Iteration 61:  log likelihood = -1147.5808  

Survival model                                  Number of obs     =        447
Log likelihood = -1147.5808
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0822553   .2066764    -0.40   0.691    -.4873336     .322823
      _start |    .000128   .0001409     0.91   0.364    -.0001482    .0004042
       _cons |  -7.782732   .3006752   -25.88   0.000    -8.372044   -7.193419
       gamma |   -.000667   .0001787    -3.73   0.000    -.0010172   -.0003168
------------------------------------------------------------------------------
 ***********
 Transition 7: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood = -3642.5722  (not concave)
Iteration 1:   log likelihood = -1420.5957  (not concave)
Iteration 2:   log likelihood =   -1274.97  (not concave)
Iteration 3:   log likelihood = -1188.5503  
Iteration 4:   log likelihood = -1167.9544  
Iteration 5:   log likelihood = -1151.8164  
Iteration 6:   log likelihood = -1150.8186  
Iteration 7:   log likelihood = -1150.8167  
Iteration 8:   log likelihood = -1150.8167  

Survival model                                  Number of obs     =        447
Log likelihood = -1150.8167
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0848637   .2391932     0.35   0.723    -.3839462    .5536737
      _start |  -.0001814   .0001571    -1.15   0.248    -.0004893    .0001265
       _cons |   7.996102   .3109364    25.72   0.000     7.386678    8.605526
       dap:1 |  -.0477937   .0748549    -0.64   0.523    -.1945067    .0989193
------------------------------------------------------------------------------
 ***********
 Transition 7: family Logn
 ***********

Fitting full model:

Iteration 0:   log likelihood = -11285.145  (not concave)
Iteration 1:   log likelihood = -1598.1002  (not concave)
Iteration 2:   log likelihood = -1373.8462  
Iteration 3:   log likelihood = -1334.2477  (not concave)
Iteration 4:   log likelihood = -1282.6584  (not concave)
Iteration 5:   log likelihood = -1232.7621  (not concave)
Iteration 6:   log likelihood =  -1188.666  (not concave)
Iteration 7:   log likelihood = -1163.2352  
Iteration 8:   log likelihood = -1148.5723  
Iteration 9:   log likelihood = -1145.9322  
Iteration 10:  log likelihood = -1145.9217  
Iteration 11:  log likelihood = -1145.9217  

Survival model                                  Number of obs     =        447
Log likelihood = -1145.9217
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0678917   .2438357     0.28   0.781    -.4100175    .5458009
      _start |  -.0000963   .0001601    -0.60   0.548    -.0004101    .0002175
       _cons |   7.965555   .3226451    24.69   0.000     7.333182    8.597928
       dap:1 |   .5276814   .0689467     7.65   0.000     .3925484    .6628143
------------------------------------------------------------------------------
 ***********
 Transition 7: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood =  -5708.783  (not concave)
Iteration 1:   log likelihood = -1317.8434  (not concave)
Iteration 2:   log likelihood = -1239.7045  (not concave)
Iteration 3:   log likelihood = -1186.2134  (not concave)
Iteration 4:   log likelihood = -1165.9638  
Iteration 5:   log likelihood = -1153.2224  
Iteration 6:   log likelihood = -1146.0598  
Iteration 7:   log likelihood =  -1141.951  
Iteration 8:   log likelihood =   -1141.13  
Iteration 9:   log likelihood = -1140.9234  
Iteration 10:  log likelihood = -1140.9208  
Iteration 11:  log likelihood = -1140.9208  

Survival model                                  Number of obs     =        447
Log likelihood = -1140.9208
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0111461   .2437053    -0.05   0.964    -.4887996    .4665074
      _start |   .0001295   .0001667     0.78   0.437    -.0001973    .0004562
       _cons |   6.780524   .4925955    13.76   0.000     5.815055    7.745993
  log(sigma) |    .719286   .0665514    10.81   0.000     .5888477    .8497242
       kappa |  -1.563461   .4692504    -3.33   0.001    -2.483174   -.6437467
------------------------------------------------------------------------------
 ***********
 Transition 7: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood =  -1486.042  
Iteration 1:   log likelihood = -1156.9031  
Iteration 2:   log likelihood = -1154.8464  
Iteration 3:   log likelihood =  -1154.846  
Iteration 4:   log likelihood =  -1154.846  

Survival model                                  Number of obs     =        447
Log likelihood =  -1154.846
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0794336     .20674    -0.38   0.701    -.4846366    .3257694
      _start |    .000233   .0001428     1.63   0.103    -.0000469    .0005128
       _cons |  -1.864574   .2832786    -6.58   0.000     -2.41979   -1.309358
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood = -1197.0818  
Iteration 2:   log likelihood = -1142.5947  
Iteration 3:   log likelihood =   -1141.32  
Iteration 4:   log likelihood = -1141.3115  
Iteration 5:   log likelihood = -1141.3115  

Survival model                                  Number of obs     =        447
Log likelihood = -1141.3115
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0902414   .2066627    -0.44   0.662    -.4952928      .31481
      _start |    .000147   .0001421     1.03   0.301    -.0001314    .0004254
       _cons |  -1.785863   .2790057    -6.40   0.000    -2.332705   -1.239022
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood = -1195.9424  
Iteration 2:   log likelihood =  -1141.767  
Iteration 3:   log likelihood = -1140.8461  
Iteration 4:   log likelihood = -1140.8412  
Iteration 5:   log likelihood = -1140.8412  

Survival model                                  Number of obs     =        447
Log likelihood = -1140.8412
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0906266   .2066595    -0.44   0.661    -.4956717    .3144185
      _start |   .0001448   .0001421     1.02   0.308    -.0001338    .0004234
       _cons |  -1.781374   .2790143    -6.38   0.000    -2.328232   -1.234516
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood = -1194.0708  
Iteration 2:   log likelihood = -1138.4729  
Iteration 3:   log likelihood = -1137.5843  
Iteration 4:   log likelihood =  -1137.579  
Iteration 5:   log likelihood =  -1137.579  

Survival model                                  Number of obs     =        447
Log likelihood =  -1137.579
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0854724   .2066664    -0.41   0.679     -.490531    .3195862
      _start |   .0001406   .0001422     0.99   0.323    -.0001381    .0004193
       _cons |  -1.787417    .279226    -6.40   0.000     -2.33469   -1.240144
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood = -1194.2803  
Iteration 2:   log likelihood = -1138.6559  
Iteration 3:   log likelihood = -1137.6533  
Iteration 4:   log likelihood = -1137.6469  
Iteration 5:   log likelihood = -1137.6469  

Survival model                                  Number of obs     =        447
Log likelihood = -1137.6469
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0849203   .2066812    -0.41   0.681    -.4900081    .3201675
      _start |   .0001399   .0001422     0.98   0.325    -.0001388    .0004187
       _cons |  -1.788505   .2793829    -6.40   0.000    -2.336085   -1.240924
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood = -1194.2228  
Iteration 2:   log likelihood = -1138.2597  
Iteration 3:   log likelihood = -1137.1449  
Iteration 4:   log likelihood = -1137.1378  
Iteration 5:   log likelihood = -1137.1378  

Survival model                                  Number of obs     =        447
Log likelihood = -1137.1378
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0852076   .2066752    -0.41   0.680    -.4902835    .3198683
      _start |   .0001399   .0001422     0.98   0.325    -.0001388    .0004186
       _cons |  -1.787279   .2793366    -6.40   0.000    -2.334769   -1.239789
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood =  -1194.706  
Iteration 2:   log likelihood = -1138.3104  
Iteration 3:   log likelihood = -1137.2791  
Iteration 4:   log likelihood = -1137.2731  
Iteration 5:   log likelihood = -1137.2731  

Survival model                                  Number of obs     =        447
Log likelihood = -1137.2731
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0846942   .2066811    -0.41   0.682    -.4897817    .3203933
      _start |   .0001396   .0001422     0.98   0.326    -.0001391    .0004183
       _cons |  -1.788481   .2794289    -6.40   0.000    -2.336152   -1.240811
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood =  -1196.577  
Iteration 2:   log likelihood = -1137.6223  
Iteration 3:   log likelihood = -1135.5176  
Iteration 4:   log likelihood =  -1135.372  
Iteration 5:   log likelihood = -1135.3711  
Iteration 6:   log likelihood = -1135.3711  

Survival model                                  Number of obs     =        447
Log likelihood = -1135.3711
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0847426   .2066808    -0.41   0.682    -.4898295    .3203443
      _start |   .0001366   .0001422     0.96   0.337    -.0001421    .0004153
       _cons |  -1.787041   .2794556    -6.39   0.000    -2.334764   -1.239318
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood = -1152.3537  
Iteration 2:   log likelihood = -1138.4183  
Iteration 3:   log likelihood = -1134.7915  
Iteration 4:   log likelihood = -1134.4944  
Iteration 5:   log likelihood = -1134.4884  
Iteration 6:   log likelihood = -1134.4884  

Survival model                                  Number of obs     =        447
Log likelihood = -1134.4884
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0829859    .206684    -0.40   0.688     -.488079    .3221073
      _start |   .0001365   .0001422     0.96   0.337    -.0001422    .0004152
       _cons |  -1.787194   .2795229    -6.39   0.000    -2.335049    -1.23934
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 7: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood =  -1228.306  
Iteration 1:   log likelihood = -1151.2675  
Iteration 2:   log likelihood = -1137.3679  
Iteration 3:   log likelihood = -1134.0824  
Iteration 4:   log likelihood = -1133.8494  
Iteration 5:   log likelihood = -1133.8452  
Iteration 6:   log likelihood = -1133.8452  

Survival model                                  Number of obs     =        447
Log likelihood = -1133.8452
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0824308   .2066876    -0.40   0.690     -.487531    .3226694
      _start |   .0001361   .0001422     0.96   0.339    -.0001427    .0004149
       _cons |  -1.783964   .2794576    -6.38   0.000    -2.331691   -1.236237
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family Cox tvc 1
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_1

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.3283  
Iteration 2:   log likelihood = -3997.5909  
Iteration 3:   log likelihood = -3992.2496  
Iteration 4:   log likelihood =  -3992.203  
Iteration 5:   log likelihood =  -3992.203  

Survival model                                  Number of obs     =      1,305
Log likelihood =  -3992.203
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .0847791   .0991553     0.86   0.393    -.1095617    .2791199
      _start |  -.0001161   .0000809    -1.44   0.151    -.0002748    .0000425
tipo_de_pl~) |  -.1357594   .0471488    -2.88   0.004    -.2281695   -.0433494
       _cons |  -7.902116   .1128525   -70.02   0.000    -8.123303    -7.68093
------------------------------------------------------------------------------
 ***********
 Transition 8: family Cox tvc 2
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_2

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.2197  
Iteration 2:   log likelihood = -3975.8945  
Iteration 3:   log likelihood = -3972.1416  
Iteration 4:   log likelihood = -3972.1072  
Iteration 5:   log likelihood = -3972.1072  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3972.1072
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0229927   .1044892    -0.22   0.826    -.2277878    .1818024
      _start |  -.0001616   .0000814    -1.98   0.047    -.0003212   -1.99e-06
tipo_de_pl~1 |  -.4034679   .0727147    -5.55   0.000    -.5459861   -.2609496
tipo_de_pl~2 |   .3378097   .0645967     5.23   0.000     .2112025    .4644169
       _cons |  -7.854851   .1123231   -69.93   0.000       -8.075   -7.634701
------------------------------------------------------------------------------
 ***********
 Transition 8: family Cox tvc 3
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_3

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.2193  
Iteration 2:   log likelihood = -3975.4297  
Iteration 3:   log likelihood =  -3972.059  
Iteration 4:   log likelihood =   -3972.03  
Iteration 5:   log likelihood =   -3972.03  

Survival model                                  Number of obs     =      1,305
Log likelihood =   -3972.03
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0385267   .1087857    -0.35   0.723    -.2517429    .1746894
      _start |  -.0001631   .0000815    -2.00   0.045    -.0003229   -3.31e-06
tipo_de_pl~1 |  -.4250026   .0836368    -5.08   0.000    -.5889277   -.2610776
tipo_de_pl~2 |   .3523654   .0696682     5.06   0.000     .2158183    .4889125
tipo_de_pl~3 |   .0575635     .07354     0.78   0.434    -.0865724    .2016993
       _cons |  -7.853328   .1123562   -69.90   0.000    -8.073543   -7.633114
------------------------------------------------------------------------------
 ***********
 Transition 8: family Cox tvc 4
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_4

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.1855  
Iteration 2:   log likelihood = -3974.9053  
Iteration 3:   log likelihood = -3969.7937  
Iteration 4:   log likelihood = -3969.7554  
Iteration 5:   log likelihood = -3969.7554  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3969.7554
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0146089   .1076786    -0.14   0.892    -.2256551    .1964373
      _start |  -.0001619   .0000815    -1.99   0.047    -.0003216   -2.19e-06
tipo_de_pl~1 |  -.3793153   .0822248    -4.61   0.000    -.5404729   -.2181576
tipo_de_pl~2 |   .3045224   .0662028     4.60   0.000     .1747673    .4342775
tipo_de_pl~3 |   .0328613   .0707149     0.46   0.642    -.1057372    .1714599
tipo_de_pl~4 |  -.1345084   .0702473    -1.91   0.056    -.2721905    .0031738
       _cons |  -7.854542   .1123549   -69.91   0.000    -8.074754   -7.634331
------------------------------------------------------------------------------
 ***********
 Transition 8: family Cox tvc 5
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_5

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.1772  
Iteration 2:   log likelihood = -3976.7427  
Iteration 3:   log likelihood =  -3969.454  
Iteration 4:   log likelihood = -3969.3789  
Iteration 5:   log likelihood = -3969.3789  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3969.3789
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0227749    .108758    -0.21   0.834    -.2359366    .1903868
      _start |  -.0001631   .0000815    -2.00   0.045    -.0003228   -3.28e-06
tipo_de_pl~1 |  -.3896374   .0850427    -4.58   0.000    -.5563179   -.2229568
tipo_de_pl~2 |   .3166286   .0677503     4.67   0.000     .1838405    .4494167
tipo_de_pl~3 |   .0672426   .0709081     0.95   0.343    -.0717347    .2062199
tipo_de_pl~4 |  -.1115881   .0707796    -1.58   0.115    -.2503136    .0271374
tipo_de_pl~5 |   .0143659   .0716952     0.20   0.841    -.1261542    .1548859
       _cons |  -7.853355   .1123553   -69.90   0.000    -8.073567   -7.633143
------------------------------------------------------------------------------
 ***********
 Transition 8: family Cox tvc 6
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_6

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.1745  
Iteration 2:   log likelihood = -3976.1545  
Iteration 3:   log likelihood =  -3968.965  
Iteration 4:   log likelihood = -3968.8952  
Iteration 5:   log likelihood = -3968.8952  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3968.8952
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0308591   .1099187    -0.28   0.779    -.2462959    .1845776
      _start |  -.0001642   .0000815    -2.01   0.044     -.000324   -4.45e-06
tipo_de_pl~1 |  -.4016485   .0879647    -4.57   0.000     -.574056   -.2292409
tipo_de_pl~2 |   .3247031   .0702339     4.62   0.000     .1870473     .462359
tipo_de_pl~3 |   .0924199   .0724936     1.27   0.202    -.0496649    .2345047
tipo_de_pl~4 |  -.0843028   .0709314    -1.19   0.235    -.2233257    .0547201
tipo_de_pl~5 |  -.0217281    .072024    -0.30   0.763    -.1628925    .1194363
tipo_de_pl~6 |    .074633   .0738092     1.01   0.312    -.0700304    .2192963
       _cons |  -7.852154   .1123308   -69.90   0.000    -8.072319    -7.63199
------------------------------------------------------------------------------
 ***********
 Transition 8: family Cox tvc 7
 ***********
variables created for model 1, component 3: _cmp_1_3_1 to _cmp_1_3_7

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.1736  
Iteration 2:   log likelihood =  -3976.695  
Iteration 3:   log likelihood = -3968.9295  
Iteration 4:   log likelihood = -3968.8315  
Iteration 5:   log likelihood = -3968.8315  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3968.8315
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.0339822    .110501    -0.31   0.758    -.2505602    .1825958
      _start |  -.0001643   .0000815    -2.02   0.044    -.0003241   -4.54e-06
tipo_de_pl~1 |  -.4057665   .0898679    -4.52   0.000    -.5819044   -.2296287
tipo_de_pl~2 |   .3270893   .0715728     4.57   0.000     .1868091    .4673694
tipo_de_pl~3 |   .1064189   .0725507     1.47   0.142    -.0357778    .2486157
tipo_de_pl~4 |  -.0670048    .071133    -0.94   0.346     -.206423    .0724134
tipo_de_pl~5 |  -.0453455   .0686569    -0.66   0.509    -.1799106    .0892196
tipo_de_pl~6 |   .0495733   .0706649     0.70   0.483    -.0889274    .1880741
tipo_de_pl~7 |   .0616082    .078867     0.78   0.435    -.0929682    .2161846
       _cons |  -7.852044   .1123342   -69.90   0.000    -8.072215   -7.631873
------------------------------------------------------------------------------
 ***********
 Transition 8: family Exp
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.3559  
Iteration 2:   log likelihood = -4108.3352  
Iteration 3:   log likelihood =   -3996.28  
Iteration 4:   log likelihood = -3996.0513  
Iteration 5:   log likelihood = -3996.0512  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3996.0512
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1350904   .0966872     1.40   0.162    -.0544129    .3245938
      _start |  -.0000855   .0000805    -1.06   0.288    -.0002432    .0000722
       _cons |  -7.934368   .1131341   -70.13   0.000    -8.156107   -7.712629
------------------------------------------------------------------------------
 ***********
 Transition 8: family Wei
 ***********

Fitting full model:

Iteration 0:   log likelihood =   -1259238  
Iteration 1:   log likelihood = -4142.3534  (not concave)
Iteration 2:   log likelihood = -4019.2576  (not concave)
Iteration 3:   log likelihood =  -4003.598  
Iteration 4:   log likelihood = -4003.2886  
Iteration 5:   log likelihood = -3994.3657  
Iteration 6:   log likelihood = -3994.0095  
Iteration 7:   log likelihood = -3994.0057  
Iteration 8:   log likelihood = -3994.0057  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3994.0057
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .134378   .0966867     1.39   0.165    -.0551244    .3238805
      _start |  -.0001155   .0000815    -1.42   0.156    -.0002752    .0000442
       _cons |  -7.348949   .3039422   -24.18   0.000    -7.944665   -6.753233
  log(gamma) |  -.0804495   .0404765    -1.99   0.047    -.1597819    -.001117
------------------------------------------------------------------------------
 ***********
 Transition 8: family Gomp
 ***********

Fitting full model:

Iteration 0:   log likelihood = -2.26e+150  (not concave)
Iteration 1:   log likelihood = -334228.11  (not concave)
Iteration 2:   log likelihood = -280751.61  (not concave)
Iteration 3:   log likelihood = -101093.13  (not concave)
Iteration 4:   log likelihood = -79572.762  (not concave)
Iteration 5:   log likelihood = -70653.585  (not concave)
Iteration 6:   log likelihood =  -52951.13  
Iteration 7:   log likelihood = -49561.338  (backed up)
Iteration 8:   log likelihood = -36109.591  (backed up)
Iteration 9:   log likelihood = -18716.865  (backed up)
Iteration 10:  log likelihood = -9741.5754  (backed up)
Iteration 11:  log likelihood = -7676.6495  
Iteration 12:  log likelihood = -4157.7862  
Iteration 13:  log likelihood = -4043.2395  
Iteration 14:  log likelihood = -3978.5394  
Iteration 15:  log likelihood =  -3978.171  
Iteration 16:  log likelihood = -3978.1708  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3978.1708
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1346181    .096675     1.39   0.164    -.0548614    .3240977
      _start |  -.0001901   .0000816    -2.33   0.020    -.0003499   -.0000302
       _cons |   -7.47981   .1324116   -56.49   0.000    -7.739332   -7.220288
       gamma |  -.0004962   .0000874    -5.68   0.000    -.0006675    -.000325
------------------------------------------------------------------------------
 ***********
 Transition 8: family Logl
 ***********

Fitting full model:

Iteration 0:   log likelihood = -11159.579  (not concave)
Iteration 1:   log likelihood = -5075.8565  (not concave)
Iteration 2:   log likelihood = -4259.8275  (not concave)
Iteration 3:   log likelihood =  -4112.385  
Iteration 4:   log likelihood = -4015.8705  
Iteration 5:   log likelihood = -3979.3097  
Iteration 6:   log likelihood = -3977.3656  
Iteration 7:   log likelihood = -3977.3585  
Iteration 8:   log likelihood = -3977.3585  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3977.3585
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.1897775   .1109191    -1.71   0.087     -.407175    .0276199
      _start |   .0002019   .0000902     2.24   0.025     .0000251    .0003787
       _cons |   7.484118   .1305286    57.34   0.000     7.228287    7.739949
       dap:1 |  -.0878994   .0396841    -2.21   0.027    -.1656788     -.01012
------------------------------------------------------------------------------
 ***********
 Transition 8: family Logn
 ***********

Fitting full model:

Iteration 0:   log likelihood = -33508.148  (not concave)
Iteration 1:   log likelihood = -4518.2711  (not concave)
Iteration 2:   log likelihood = -4298.7966  (not concave)
Iteration 3:   log likelihood = -4208.7008  (not concave)
Iteration 4:   log likelihood = -4127.1026  (not concave)
Iteration 5:   log likelihood = -4074.6727  
Iteration 6:   log likelihood = -4024.7292  
Iteration 7:   log likelihood = -3966.0029  
Iteration 8:   log likelihood = -3965.4727  
Iteration 9:   log likelihood = -3965.4714  
Iteration 10:  log likelihood = -3965.4714  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3965.4714
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2233815   .1128687    -1.98   0.048    -.4446002   -.0021629
      _start |   .0002475   .0000886     2.79   0.005     .0000739    .0004211
       _cons |   7.512656   .1334613    56.29   0.000     7.251077    7.774235
       dap:1 |   .4789894   .0363901    13.16   0.000      .407666    .5503127
------------------------------------------------------------------------------
 ***********
 Transition 8: family Ggam
 ***********

Fitting full model:

Iteration 0:   log likelihood = -17179.086  (not concave)
Iteration 1:   log likelihood = -4545.1081  (not concave)
Iteration 2:   log likelihood = -4260.3561  (not concave)
Iteration 3:   log likelihood = -4132.4918  (not concave)
Iteration 4:   log likelihood = -4069.2002  
Iteration 5:   log likelihood = -3992.3955  (not concave)
Iteration 6:   log likelihood = -3977.6624  
Iteration 7:   log likelihood = -3963.7635  
Iteration 8:   log likelihood = -3962.7983  
Iteration 9:   log likelihood = -3962.7939  
Iteration 10:  log likelihood = -3962.7939  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3962.7939
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |  -.2589838   .1164973    -2.22   0.026    -.4873142   -.0306533
      _start |   .0002865   .0000892     3.21   0.001     .0001117    .0004612
       _cons |   7.301536   .1657489    44.05   0.000     6.976674    7.626398
  log(sigma) |   .5778862   .0511819    11.29   0.000     .4775715    .6782009
       kappa |   -.393711   .1692313    -2.33   0.020    -.7253983   -.0620237
------------------------------------------------------------------------------
 ***********
 Transition 8: family RP1
 ***********
variables created: _rcs1_1 to _rcs1_1

Fitting full model:

Iteration 0:   log likelihood = -4824.3662  
Iteration 1:   log likelihood = -3994.7136  
Iteration 2:   log likelihood = -3994.0069  
Iteration 3:   log likelihood = -3994.0057  
Iteration 4:   log likelihood = -3994.0057  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3994.0057
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .134378   .0966867     1.39   0.165    -.0551244    .3238805
      _start |  -.0001155   .0000815    -1.42   0.156    -.0002752    .0000442
       _cons |  -1.383773   .1200367   -11.53   0.000     -1.61904   -1.148505
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP2
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_2

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3995.8036  
Iteration 2:   log likelihood =  -3961.792  
Iteration 3:   log likelihood = -3961.1533  
Iteration 4:   log likelihood = -3961.1522  
Iteration 5:   log likelihood = -3961.1522  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3961.1522
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1368152   .0966775     1.42   0.157    -.0526692    .3262995
      _start |  -.0001881   .0000818    -2.30   0.022    -.0003485   -.0000277
       _cons |  -1.346361   .1194137   -11.27   0.000    -1.580407   -1.112314
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP3
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_3

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3990.6696  
Iteration 2:   log likelihood = -3960.6726  
Iteration 3:   log likelihood = -3960.0989  
Iteration 4:   log likelihood = -3960.0974  
Iteration 5:   log likelihood = -3960.0974  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3960.0974
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1376553   .0966755     1.42   0.154    -.0518252    .3271357
      _start |  -.0001917   .0000819    -2.34   0.019    -.0003523   -.0000311
       _cons |   -1.34016   .1194447   -11.22   0.000    -1.574268   -1.106053
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP4
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_4

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3990.2339  
Iteration 2:   log likelihood = -3958.3198  
Iteration 3:   log likelihood = -3957.8743  
Iteration 4:   log likelihood = -3957.8738  
Iteration 5:   log likelihood = -3957.8738  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3957.8738
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |    .137253   .0966757     1.42   0.156    -.0522279    .3267339
      _start |  -.0001902   .0000819    -2.32   0.020    -.0003507   -.0000296
       _cons |  -1.344117   .1194829   -11.25   0.000    -1.578299   -1.109934
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP5
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_5

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3990.2337  
Iteration 2:   log likelihood = -3958.4076  
Iteration 3:   log likelihood = -3957.9097  
Iteration 4:   log likelihood = -3957.9091  
Iteration 5:   log likelihood = -3957.9091  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3957.9091
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1373617   .0966776     1.42   0.155    -.0521229    .3268464
      _start |  -.0001899   .0000819    -2.32   0.020    -.0003505   -.0000294
       _cons |  -1.344599    .119503   -11.25   0.000     -1.57882   -1.110377
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP6
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_6

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3990.1892  
Iteration 2:   log likelihood = -3958.2185  
Iteration 3:   log likelihood =  -3957.748  
Iteration 4:   log likelihood = -3957.7474  
Iteration 5:   log likelihood = -3957.7474  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3957.7474
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1370845   .0966772     1.42   0.156    -.0523993    .3265683
      _start |  -.0001908   .0000819    -2.33   0.020    -.0003514   -.0000302
       _cons |  -1.344016   .1195188   -11.25   0.000    -1.578268   -1.109763
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP7
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_7

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood =  -3989.484  
Iteration 2:   log likelihood = -3957.2867  
Iteration 3:   log likelihood = -3956.7659  
Iteration 4:   log likelihood = -3956.7653  
Iteration 5:   log likelihood = -3956.7653  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3956.7653
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1370153   .0966763     1.42   0.156    -.0524668    .3264974
      _start |  -.0001923   .0000819    -2.35   0.019    -.0003529   -.0000317
       _cons |  -1.342897   .1195022   -11.24   0.000    -1.577117   -1.108677
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP8
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_8

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3989.0085  
Iteration 2:   log likelihood = -3956.7738  
Iteration 3:   log likelihood = -3956.2509  
Iteration 4:   log likelihood = -3956.2502  
Iteration 5:   log likelihood = -3956.2502  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3956.2502
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1366876   .0966761     1.41   0.157     -.052794    .3261692
      _start |  -.0001931    .000082    -2.36   0.018    -.0003537   -.0000324
       _cons |  -1.342509   .1195015   -11.23   0.000    -1.576727    -1.10829
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP9
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_9

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3988.7354  
Iteration 2:   log likelihood = -3956.6677  
Iteration 3:   log likelihood = -3956.1461  
Iteration 4:   log likelihood = -3956.1454  
Iteration 5:   log likelihood = -3956.1454  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3956.1454
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1365893   .0966765     1.41   0.158    -.0528933    .3260718
      _start |  -.0001934    .000082    -2.36   0.018    -.0003541   -.0000328
       _cons |  -1.342176   .1195046   -11.23   0.000    -1.576401   -1.107951
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display
 ***********
 Transition 8: family RP10
 ***********
Obtaining initial values
variables created: _rcs1_1 to _rcs1_10

Fitting full model:

Iteration 0:   log likelihood = -4162.2508  
Iteration 1:   log likelihood = -3988.4018  
Iteration 2:   log likelihood = -3956.2867  
Iteration 3:   log likelihood = -3955.7872  
Iteration 4:   log likelihood = -3955.7865  
Iteration 5:   log likelihood = -3955.7865  

Survival model                                  Number of obs     =      1,305
Log likelihood = -3955.7865
------------------------------------------------------------------------------
             |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
_t:          |            
tipo_de_pl~1 |   .1363298   .0966765     1.41   0.158    -.0531526    .3258123
      _start |  -.0001936    .000082    -2.36   0.018    -.0003543   -.0000329
       _cons |  -1.341993   .1195122   -11.23   0.000    -1.576232   -1.107753
------------------------------------------------------------------------------
    Warning: Baseline spline coefficients not shown - use ml display

. *rcs(time, df(3) orthog)
. estwrite _all using "${pathdata2}parmodels_m2_jun_22_corr3.sters", replace
(saving m2_1_cox1)
(saving m2_1_cox2)
(saving m2_1_cox3)
(saving m2_1_cox4)
(saving m2_1_cox5)
(saving m2_1_cox6)
(saving m2_1_cox7)
(saving m2_1_exp)
(saving m2_1_weib)
(saving m2_1_gom)
(saving m2_1_logl)
(saving m2_1_logn)
(saving m2_1_ggam)
(saving m2_1_rp1)
(saving m2_1_rp2)
(saving m2_1_rp3)
(saving m2_1_rp4)
(saving m2_1_rp5)
(saving m2_1_rp6)
(saving m2_1_rp7)
(saving m2_1_rp8)
(saving m2_1_rp9)
(saving m2_1_rp10)
(saving m2_2_cox1)
(saving m2_2_cox2)
(saving m2_2_cox3)
(saving m2_2_cox4)
(saving m2_2_cox5)
(saving m2_2_cox6)
(saving m2_2_cox7)
(saving m2_2_exp)
(saving m2_2_weib)
(saving m2_2_gom)
(saving m2_2_logl)
(saving m2_2_logn)
(saving m2_2_ggam)
(saving m2_2_rp1)
(saving m2_2_rp2)
(saving m2_2_rp3)
(saving m2_2_rp4)
(saving m2_2_rp5)
(saving m2_2_rp6)
(saving m2_2_rp7)
(saving m2_2_rp8)
(saving m2_2_rp9)
(saving m2_2_rp10)
(saving m2_3_cox1)
(saving m2_3_cox2)
(saving m2_3_cox3)
(saving m2_3_cox4)
(saving m2_3_cox5)
(saving m2_3_cox6)
(saving m2_3_cox7)
(saving m2_3_exp)
(saving m2_3_weib)
(saving m2_3_gom)
(saving m2_3_logl)
(saving m2_3_logn)
(saving m2_3_ggam)
(saving m2_3_rp1)
(saving m2_3_rp2)
(saving m2_3_rp3)
(saving m2_3_rp4)
(saving m2_3_rp5)
(saving m2_3_rp6)
(saving m2_3_rp7)
(saving m2_3_rp8)
(saving m2_3_rp9)
(saving m2_3_rp10)
(saving m2_4_cox1)
(saving m2_4_cox2)
(saving m2_4_cox3)
(saving m2_4_cox4)
(saving m2_4_cox5)
(saving m2_4_cox6)
(saving m2_4_cox7)
(saving m2_4_exp)
(saving m2_4_weib)
(saving m2_4_gom)
(saving m2_4_logl)
(saving m2_4_logn)
(saving m2_4_ggam)
(saving m2_4_rp1)
(saving m2_4_rp2)
(saving m2_4_rp3)
(saving m2_4_rp4)
(saving m2_4_rp5)
(saving m2_4_rp6)
(saving m2_4_rp7)
(saving m2_4_rp8)
(saving m2_4_rp9)
(saving m2_4_rp10)
(saving m2_5_cox1)
(saving m2_5_cox2)
(saving m2_5_cox3)
(saving m2_5_cox4)
(saving m2_5_cox5)
(saving m2_5_cox6)
(saving m2_5_cox7)
(saving m2_5_exp)
(saving m2_5_weib)
(saving m2_5_gom)
(saving m2_5_logl)
(saving m2_5_logn)
(saving m2_5_ggam)
(saving m2_5_rp1)
(saving m2_5_rp2)
(saving m2_5_rp3)
(saving m2_5_rp4)
(saving m2_5_rp5)
(saving m2_5_rp6)
(saving m2_5_rp7)
(saving m2_5_rp8)
(saving m2_5_rp9)
(saving m2_5_rp10)
(saving m2_6_cox1)
(saving m2_6_cox2)
(saving m2_6_cox3)
(saving m2_6_cox4)
(saving m2_6_cox5)
(saving m2_6_cox6)
(saving m2_6_cox7)
(saving m2_6_exp)
(saving m2_6_weib)
(saving m2_6_gom)
(saving m2_6_logl)
(saving m2_6_logn)
(saving m2_6_ggam)
(saving m2_6_rp1)
(saving m2_6_rp2)
(saving m2_6_rp3)
(saving m2_6_rp4)
(saving m2_6_rp5)
(saving m2_6_rp6)
(saving m2_6_rp7)
(saving m2_6_rp8)
(saving m2_6_rp9)
(saving m2_6_rp10)
(saving m2_7_cox1)
(saving m2_7_cox2)
(saving m2_7_cox3)
(saving m2_7_cox4)
(saving m2_7_cox5)
(saving m2_7_cox6)
(saving m2_7_cox7)
(saving m2_7_exp)
(saving m2_7_weib)
(saving m2_7_gom)
(saving m2_7_logl)
(saving m2_7_logn)
(saving m2_7_ggam)
(saving m2_7_rp1)
(saving m2_7_rp2)
(saving m2_7_rp3)
(saving m2_7_rp4)
(saving m2_7_rp5)
(saving m2_7_rp6)
(saving m2_7_rp7)
(saving m2_7_rp8)
(saving m2_7_rp9)
(saving m2_7_rp10)
(saving m2_8_cox1)
(saving m2_8_cox2)
(saving m2_8_cox3)
(saving m2_8_cox4)
(saving m2_8_cox5)
(saving m2_8_cox6)
(saving m2_8_cox7)
(saving m2_8_exp)
(saving m2_8_weib)
(saving m2_8_gom)
(saving m2_8_logl)
(saving m2_8_logn)
(saving m2_8_ggam)
(saving m2_8_rp1)
(saving m2_8_rp2)
(saving m2_8_rp3)
(saving m2_8_rp4)
(saving m2_8_rp5)
(saving m2_8_rp6)
(saving m2_8_rp7)
(saving m2_8_rp8)
(saving m2_8_rp9)
(saving m2_8_rp10)
(file C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/_mult_state_ags/parmodels_m2_jun_22_corr3.sters saved)

Selected the models with lower fit indices.


comb
N ll0 ll df AIC BIC

m2_1_rp9 5356 . -41618.14 11 83258.28 83330.73
m2_1_rp10 5356 . -41617.74 12 83259.49 83338.52
m2_1_rp8 5356 . -41629.64 10 83279.28 83345.14
m2_1_rp7 5356 . -41642.23 9 83302.45 83361.72
m2_1_rp6 5356 . -41671.43 8 83358.86 83411.55
m2_1_rp5 5356 . -41706.23 7 83426.47 83472.57
m2_1_rp4 5356 . -41720.52 6 83453.05 83492.56
m2_1_rp3 5356 . -41795.27 5 83600.54 83633.47
m2_1_cox7 5356 . -42942.8 9 85903.6 85962.87
m2_1_cox6 5356 . -42947.23 8 85910.46 85963.15
m2_1_cox5 5356 . -42977.13 7 85968.27 86014.37
m2_1_cox4 5356 . -42985.77 6 85983.55 86023.06
m2_1_cox3 5356 . -43025.67 5 86061.34 86094.27
m2_1_rp2 5356 . -43327.75 4 86663.5 86689.84
m2_1_gom 5356 . -44369.46 3 88744.93 88764.69
m2_1_cox2 5356 . -44413.93 4 88835.86 88862.2
m2_1_logn 5356 . -44457.8 3 88921.6 88941.36
m2_1_ggam 5356 . -44457.8 3 88921.6 88941.36
m2_1_logl 5356 . -44457.8 3 88921.6 88941.36
m2_1_cox1 5356 . -45297.35 3 90600.7 90620.46
m2_1_weib 5356 . -45347.92 3 90701.84 90721.6
m2_1_rp1 5356 . -45347.92 3 90701.84 90721.6
m2_1_exp 5356 . -45404.92 2 90813.84 90827.01
m2_2_rp10 13067 . -91559.78 12 183143.6 183233.3
m2_2_rp9 13067 . -91564.07 11 183150.1 183232.4
m2_2_rp8 13067 . -91567.23 10 183154.5 183229.2
m2_2_rp7 13067 . -91570.09 9 183158.2 183225.5
m2_2_rp6 13067 . -91573.74 8 183163.5 183223.3
m2_2_rp5 13067 . -91577.26 7 183168.5 183220.9
m2_2_rp4 13067 . -91581.1 6 183174.2 183219.1
m2_2_rp3 13067 . -91591.16 5 183192.3 183229.7
m2_2_gom 13067 . -92016.08 3 184038.2 184060.6
m2_2_rp2 13067 . -92504.71 4 185017.4 185047.3
m2_2_ggam 13067 . -93676.5 4 187361 187390.9
m2_2_logn 13067 . -93988.31 3 187982.6 188005
m2_2_logl 13067 . -93988.31 3 187982.6 188005
m2_2_cox7 13067 . -95371.99 9 190762 190829.3
m2_2_cox6 13067 . -95374.6 8 190765.2 190825
m2_2_cox5 13067 . -95381.71 7 190777.4 190829.8
m2_2_cox4 13067 . -95388.67 6 190789.3 190834.2
m2_2_cox3 13067 . -95395.35 5 190800.7 190838.1
m2_2_rp1 13067 . -95631.46 3 191268.9 191291.4
m2_2_weib 13067 . -95631.46 3 191268.9 191291.4
m2_2_cox2 13067 . -95733.53 4 191475.1 191505
m2_2_cox1 13067 . -96816.66 3 193639.3 193661.8
m2_2_exp 13067 . -99231.15 2 198466.3 198481.3
m2_3_rp10 1518 . -13877.87 13 27781.73 27850.96
m2_3_rp9 1518 . -13880.51 12 27785.02 27848.92
m2_3_rp8 1518 . -13883.5 11 27789 27847.58
m2_3_rp7 1518 . -13885.78 10 27791.55 27844.81
m2_3_ggam 1518 . -13890.99 5 27791.99 27818.62
m2_3_logn 1518 . -13892.34 4 27792.68 27813.98
m2_3_rp6 1518 . -13890.16 9 27798.31 27846.24
m2_3_logl 1518 . -13897.81 4 27803.62 27824.92
m2_3_rp5 1518 . -13894.77 8 27805.55 27848.15
m2_3_rp4 1518 . -13896.87 7 27807.75 27845.02
m2_3_rp3 1518 . -13898.78 6 27809.57 27841.52
m2_3_rp2 1518 . -13903.28 5 27816.55 27843.18
m2_3_rp1 1518 . -13911.05 4 27830.09 27851.39
m2_3_weib 1518 . -13911.05 4 27830.09 27851.39
m2_3_cox3 1518 . -13912.03 6 27836.05 27868
m2_3_cox4 1518 . -13911.91 7 27837.82 27875.09
m2_3_cox7 1518 . -13909.77 10 27839.53 27892.78
m2_3_cox5 1518 . -13911.87 8 27839.74 27882.34
m2_3_cox6 1518 . -13910.88 9 27839.75 27887.68
m2_3_cox1 1518 . -13920.77 4 27849.53 27870.83
m2_3_cox2 1518 . -13920.19 5 27850.38 27877
m2_3_gom 1518 . -14023.43 4 28054.85 28076.15
m2_3_exp 1518 . -14356.48 3 28718.95 28734.93
m2_4_ggam 4046 . -36434.4 5 72878.8 72910.33
m2_4_logn 4046 . -36436.98 4 72881.96 72907.18
m2_4_rp8 4046 . -36440.11 11 72902.23 72971.59
m2_4_rp9 4046 . -36439.52 12 72903.04 72978.71
m2_4_rp10 4046 . -36438.54 13 72903.09 72985.06
m2_4_rp7 4046 . -36441.73 10 72903.46 72966.51
m2_4_rp6 4046 . -36446.39 9 72910.79 72967.54
m2_4_rp5 4046 . -36456.44 8 72928.89 72979.33
m2_4_rp4 4046 . -36461.5 7 72937.01 72981.15
m2_4_rp3 4046 . -36462.52 6 72937.04 72974.87
m2_4_rp2 4046 . -36477.89 5 72965.77 72997.3
m2_4_logl 4046 . -36493.46 4 72994.93 73020.15
m2_4_rp1 4046 . -36555.63 4 73119.26 73144.48
m2_4_weib 4046 . -36555.63 4 73119.26 73144.48
m2_4_gom 4046 . -36808.98 4 73625.97 73651.19
m2_4_cox7 4046 . -36839.09 10 73698.19 73761.24
m2_4_cox6 4046 . -36840.66 9 73699.33 73756.08
m2_4_cox3 4046 . -36845.18 6 73702.36 73740.19
m2_4_cox5 4046 . -36843.4 8 73702.79 73753.24
m2_4_cox4 4046 . -36845.26 7 73704.52 73748.65
m2_4_cox2 4046 . -36849.95 5 73709.9 73741.43
m2_4_cox1 4046 . -36873 4 73753.99 73779.21
m2_4_exp 4046 . -38002.39 3 76010.78 76029.7
m2_5_rp3 447 . -4075.904 6 8163.808 8188.423
m2_5_rp4 447 . -4075.365 7 8164.73 8193.448
m2_5_rp5 447 . -4074.985 8 8165.97 8198.791
m2_5_rp6 447 . -4075.037 9 8168.074 8204.997
m2_5_rp7 447 . -4075.035 10 8170.07 8211.096
m2_5_rp8 447 . -4074.671 11 8171.342 8216.471
m2_5_rp2 447 . -4081.271 5 8172.542 8193.055
m2_5_rp9 447 . -4074.792 12 8173.584 8222.815
m2_5_rp10 447 . -4074.531 13 8175.062 8228.395
m2_5_cox3 447 . -4085.829 6 8183.658 8208.273
m2_5_cox4 447 . -4085.14 7 8184.281 8212.999
m2_5_cox5 447 . -4084.38 8 8184.759 8217.58
m2_5_logn 447 . -4088.633 4 8185.266 8201.676
m2_5_cox2 447 . -4087.718 5 8185.436 8205.949
m2_5_ggam 447 . -4087.874 5 8185.749 8206.262
m2_5_cox6 447 . -4084.377 9 8186.754 8223.677
m2_5_cox7 447 . -4084.301 10 8188.601 8229.627
m2_5_gom 447 . -4091.145 4 8190.289 8206.699
m2_5_logl 447 . -4098.414 4 8204.827 8221.238
m2_5_rp1 447 . -4111.451 4 8230.903 8247.313
m2_5_weib 447 . -4111.451 4 8230.903 8247.313
m2_5_cox1 447 . -4112.258 4 8232.515 8248.926
m2_5_exp 447 . -4116.587 3 8239.175 8251.483
m2_6_rp4 1305 . -11819.03 7 23652.05 23688.27
m2_6_rp5 1305 . -11819.17 8 23654.33 23695.72
m2_6_rp6 1305 . -11818.24 9 23654.48 23701.05
m2_6_rp7 1305 . -11818.37 10 23656.73 23708.47
m2_6_rp3 1305 . -11822.68 6 23657.35 23688.39
m2_6_rp8 1305 . -11818.05 11 23658.1 23715.01
m2_6_rp9 1305 . -11817.79 12 23659.59 23721.68
m2_6_rp10 1305 . -11817.54 13 23661.08 23728.34
m2_6_rp2 1305 . -11828.86 5 23667.73 23693.6
m2_6_ggam 1305 . -11852.53 5 23715.06 23740.93
m2_6_logn 1305 . -11868.13 4 23744.27 23764.96
m2_6_gom 1305 . -11869.42 4 23746.84 23767.54
m2_6_cox4 1305 . -11893.9 7 23801.79 23838.01
m2_6_cox5 1305 . -11893.11 8 23802.22 23843.61
m2_6_cox6 1305 . -11892.65 9 23803.29 23849.86
m2_6_cox3 1305 . -11895.96 6 23803.92 23834.96
m2_6_cox2 1305 . -11897.24 5 23804.49 23830.36
m2_6_cox7 1305 . -11892.67 10 23805.35 23857.09
m2_6_logl 1305 . -11909.83 4 23827.65 23848.35
m2_6_rp1 1305 . -11953.61 4 23915.22 23935.91
m2_6_weib 1305 . -11953.61 4 23915.22 23935.91
m2_6_cox1 1305 . -11967.83 4 23943.66 23964.35
m2_6_exp 1305 . -11989.61 3 23985.23 24000.75
m2_7_rp4 127 . -1137.579 7 2289.158 2309.067
m2_7_rp5 127 . -1137.647 8 2291.294 2314.047
m2_7_ggam 127 . -1140.921 5 2291.842 2306.063
m2_7_cox7 127 . -1136.033 10 2292.067 2320.509
m2_7_rp6 127 . -1137.138 9 2292.276 2317.873
m2_7_rp2 127 . -1141.312 5 2292.623 2306.844
m2_7_rp8 127 . -1135.371 11 2292.742 2324.028
m2_7_rp9 127 . -1134.488 12 2292.977 2327.107
m2_7_cox4 127 . -1139.517 7 2293.034 2312.944
m2_7_rp3 127 . -1140.841 6 2293.682 2310.747
m2_7_rp10 127 . -1133.845 13 2293.69 2330.665
m2_7_cox5 127 . -1139.162 8 2294.323 2317.077
m2_7_rp7 127 . -1137.273 10 2294.546 2322.988
m2_7_cox6 127 . -1139.171 9 2296.342 2321.939
m2_7_cox2 127 . -1143.674 5 2297.348 2311.569
m2_7_cox3 127 . -1143.058 6 2298.115 2315.18
m2_7_logn 127 . -1145.922 4 2299.843 2311.22
m2_7_gom 127 . -1147.581 4 2303.162 2314.538
m2_7_logl 127 . -1150.817 4 2309.633 2321.01
m2_7_exp 127 . -1155.558 3 2317.116 2325.648
m2_7_cox1 127 . -1154.82 4 2317.64 2329.017
m2_7_rp1 127 . -1154.846 4 2317.692 2329.069
m2_7_weib 127 . -1154.846 4 2317.692 2329.069
m2_8_rp4 447 . -3957.874 7 7929.748 7958.465
m2_8_rp5 447 . -3957.909 8 7931.818 7964.639
m2_8_rp3 447 . -3960.097 6 7932.195 7956.81
m2_8_rp2 447 . -3961.152 5 7932.304 7952.817
m2_8_rp6 447 . -3957.747 9 7933.495 7970.418
m2_8_rp7 447 . -3956.765 10 7933.531 7974.556
m2_8_rp8 447 . -3956.25 11 7934.5 7979.628
m2_8_ggam 447 . -3962.794 5 7935.588 7956.101
m2_8_rp9 447 . -3956.145 12 7936.291 7985.522
m2_8_rp10 447 . -3955.786 13 7937.573 7990.906
m2_8_logn 447 . -3965.471 4 7938.943 7955.353
m2_8_cox4 447 . -3969.755 7 7953.511 7982.229
m2_8_cox2 447 . -3972.107 5 7954.214 7974.727
m2_8_cox5 447 . -3969.379 8 7954.758 7987.578
m2_8_cox6 447 . -3968.895 9 7955.79 7992.713
m2_8_cox3 447 . -3972.03 6 7956.06 7980.675
m2_8_cox7 447 . -3968.832 10 7957.663 7998.689
m2_8_logl 447 . -3977.359 4 7962.717 7979.127
m2_8_gom 447 . -3978.171 4 7964.342 7980.752
m2_8_cox1 447 . -3992.203 4 7992.406 8008.816
m2_8_rp1 447 . -3994.006 4 7996.011 8012.422
m2_8_weib 447 . -3994.006 4 7996.011 8012.422
m2_8_exp 447 . -3996.051 3 7998.102 8010.41

Saved at= 17:44:37 21 Oct 2022