ss.gomp.rmst_noboot_diff_tab<-
ss.gomp.rmst_noboot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.gomp.rmst_boot_diff_tab<-
ss.gomp.rmst_boot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.gomp.rmst_noboot_tab<-
ss.gomp.rmst_noboot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.gomp.rmst_boot_tab<-
ss.gomp.rmst_boot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.gomp.surv_noboot_diff_tab<-
ss.gomp.surv_noboot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.gomp.surv_boot_diff_tab<-
ss.gomp.surv_boot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.gomp.surv_noboot_tab<-
ss.gomp.surv_noboot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.gomp.surv_boot_tab<-
ss.gomp.surv_boot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
#_________________________
#rp04
ss.rp04.rmst_noboot_diff_tab<-
ss.rp04.rmst_noboot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.rp04.rmst_boot_diff_tab<-
ss.rp04.rmst_boot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.rp04.rmst_noboot_tab<-
ss.rp04.rmst_noboot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.rp04.rmst_boot_tab<-
ss.rp04.rmst_boot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.rp04.surv_noboot_diff_tab<-
ss.rp04.surv_noboot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.rp04.surv_boot_diff_tab<-
ss.rp04.surv_boot_diff %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.rp04.surv_noboot_tab<-
ss.rp04.surv_noboot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))
ss.rp04.surv_boot_tab<-
ss.rp04.surv_boot %>%
dplyr::rename_with(~ paste0(.x, "_est"), .cols = names(.)[!str_ends(names(.), "time|_lci|_uci")]) %>%
dplyr::rename_with(~ sub("2_1","21",.x), .cols = names(.)[grepl("2_1",names(.))]) %>%
dplyr::rename_with(~ sub("3_1","31",.x), .cols = names(.)[grepl("3_1",names(.))]) %>%
pivot_longer(!time, names_to=c("at","est"), names_sep="_", values_to="rmst") %>%
pivot_wider(id_cols=c("time", "at"), names_from="est", values_from="rmst") %>%
dplyr::filter(time %in% c(.5,1,3))combined_df <- bind_rows(
cbind(mod="Gompertz, RMST, No bootstrap, Difference", ss.gomp.rmst_noboot_diff_tab),
cbind(mod="Gompertz, RMST, Bootstrap, Difference", ss.gomp.rmst_boot_diff_tab),
cbind(mod="Gompertz, RMST, No bootstrap, Ratio", ss.gomp.rmst_noboot_tab),
cbind(mod="Gompertz, RMST, Bootstrap, Ratio", ss.gomp.rmst_boot_tab),
cbind(mod="Gompertz, Survival, No bootstrap, Difference", ss.gomp.surv_noboot_diff_tab),
cbind(mod="Gompertz, Survival, Bootstrap, Difference", ss.gomp.surv_boot_diff_tab),
cbind(mod="Gompertz, Survival, No bootstrap, Ratio", ss.gomp.surv_noboot_tab),
cbind(mod="Gompertz, Survival, Bootstrap, Ratio", ss.gomp.surv_boot_tab),
cbind(mod="Royston-Parmar 04, RMST, No bootstrap, Difference", ss.rp04.rmst_noboot_diff_tab),
cbind(mod="Royston-Parmar 04, RMST, Bootstrap, Difference", ss.rp04.rmst_boot_diff_tab),
cbind(mod="Royston-Parmar 04, RMST, No bootstrap, Ratio", ss.rp04.rmst_noboot_tab),
cbind(mod="Royston-Parmar 04, RMST, Bootstrap, Ratio", ss.rp04.rmst_boot_tab),
cbind(mod="Royston-Parmar 04, Survival, No bootstrap, Difference", ss.rp04.surv_noboot_diff_tab),
cbind(mod="Royston-Parmar 04, Survival, Bootstrap, Difference", ss.rp04.surv_boot_diff_tab),
cbind(mod="Royston-Parmar 04, Survival, No bootstrap, Ratio", ss.rp04.surv_noboot_tab),
cbind(mod="Royston-Parmar 04, Survival, Bootstrap, Ratio", ss.rp04.surv_boot_tab)
) %>%
dplyr::mutate_at(c("est","lci","uci"),~sprintf("%.3f",.)) %>%
dplyr::mutate(est_lci_uci= paste0(est, " (",lci,", ", uci,")")) %>%
tidyr::pivot_wider(id_cols=c(mod,time), names_from = at, values_from = est_lci_uci)
combined_df %>%
knitr::kable(format="markdown",caption="Parametric survival regression, RMSTs and Survival Marginal Estimations", col.names=c("model", "time (years)", "With couple/children", "Alone", "Family of origin", "Alone vs. Couple/children","Fam of origin vs. Alone"))| model | time (years) | With couple/children | Alone | Family of origin | Alone vs. Couple/children | Fam of origin vs. Alone |
|---|---|---|---|---|---|---|
| Gompertz, RMST, No bootstrap, Difference | 0.5 | 0.361 (0.356, 0.367) | 0.365 (0.362, 0.368) | 0.350 (0.342, 0.357) | 0.004 (0.000, 0.007) | -0.012 (-0.024, 0.001) |
| Gompertz, RMST, No bootstrap, Difference | 1.0 | 0.593 (0.579, 0.608) | 0.603 (0.595, 0.611) | 0.563 (0.545, 0.583) | 0.009 (0.001, 0.018) | -0.030 (-0.062, 0.002) |
| Gompertz, RMST, No bootstrap, Difference | 3.0 | 1.267 (1.217, 1.320) | 1.300 (1.272, 1.329) | 1.164 (1.101, 1.230) | 0.033 (0.002, 0.063) | -0.104 (-0.214, 0.007) |
| Gompertz, RMST, Bootstrap, Difference | 0.5 | 0.361 (0.355, 0.367) | 0.365 (0.361, 0.368) | 0.350 (0.341, 0.357) | 0.004 (-0.003, 0.010) | -0.012 (-0.023, -0.001) |
| Gompertz, RMST, Bootstrap, Difference | 1.0 | 0.593 (0.578, 0.608) | 0.603 (0.594, 0.611) | 0.563 (0.543, 0.581) | 0.009 (-0.007, 0.025) | -0.030 (-0.056, -0.004) |
| Gompertz, RMST, Bootstrap, Difference | 3.0 | 1.267 (1.217, 1.316) | 1.300 (1.272, 1.328) | 1.164 (1.094, 1.223) | 0.033 (-0.025, 0.087) | -0.104 (-0.197, -0.015) |
| Gompertz, RMST, No bootstrap, Ratio | 0.5 | 0.361 (0.356, 0.367) | 0.365 (0.362, 0.368) | 0.350 (0.342, 0.357) | 1.010 (1.001, 1.020) | 0.967 (0.934, 1.002) |
| Gompertz, RMST, No bootstrap, Ratio | 1.0 | 0.593 (0.579, 0.608) | 0.603 (0.595, 0.611) | 0.563 (0.545, 0.583) | 1.016 (1.001, 1.031) | 0.949 (0.898, 1.004) |
| Gompertz, RMST, No bootstrap, Ratio | 3.0 | 1.267 (1.217, 1.320) | 1.300 (1.272, 1.329) | 1.164 (1.101, 1.230) | 1.026 (1.001, 1.051) | 0.918 (0.838, 1.006) |
| Gompertz, RMST, Bootstrap, Ratio | 0.5 | 0.361 (0.355, 0.367) | 0.365 (0.361, 0.368) | 0.350 (0.341, 0.357) | 1.010 (0.993, 1.028) | 0.967 (0.938, 0.996) |
| Gompertz, RMST, Bootstrap, Ratio | 1.0 | 0.593 (0.578, 0.608) | 0.603 (0.594, 0.611) | 0.563 (0.543, 0.581) | 1.016 (0.989, 1.043) | 0.949 (0.906, 0.993) |
| Gompertz, RMST, Bootstrap, Ratio | 3.0 | 1.267 (1.217, 1.316) | 1.300 (1.272, 1.328) | 1.164 (1.094, 1.223) | 1.026 (0.981, 1.071) | 0.918 (0.850, 0.987) |
| Gompertz, Survival, No bootstrap, Difference | 0.5 | 0.545 (0.528, 0.562) | 0.556 (0.546, 0.565) | 0.511 (0.489, 0.533) | 0.011 (0.001, 0.021) | -0.034 (-0.071, 0.002) |
| Gompertz, Survival, No bootstrap, Difference | 1.0 | 0.406 (0.388, 0.425) | 0.418 (0.408, 0.428) | 0.369 (0.346, 0.393) | 0.012 (0.001, 0.023) | -0.037 (-0.077, 0.002) |
| Gompertz, Survival, No bootstrap, Difference | 3.0 | 0.311 (0.293, 0.330) | 0.322 (0.312, 0.333) | 0.275 (0.253, 0.298) | 0.011 (0.001, 0.022) | -0.037 (-0.075, 0.002) |
| Gompertz, Survival, Bootstrap, Difference | 0.5 | 0.545 (0.527, 0.561) | 0.556 (0.546, 0.565) | 0.511 (0.487, 0.531) | 0.011 (-0.008, 0.029) | -0.034 (-0.065, -0.005) |
| Gompertz, Survival, Bootstrap, Difference | 1.0 | 0.406 (0.388, 0.424) | 0.418 (0.408, 0.428) | 0.369 (0.344, 0.390) | 0.012 (-0.009, 0.031) | -0.037 (-0.070, -0.006) |
| Gompertz, Survival, Bootstrap, Difference | 3.0 | 0.311 (0.292, 0.329) | 0.322 (0.312, 0.334) | 0.275 (0.251, 0.296) | 0.011 (-0.009, 0.031) | -0.037 (-0.070, -0.007) |
| Gompertz, Survival, No bootstrap, Ratio | 0.5 | 0.545 (0.528, 0.562) | 0.556 (0.546, 0.565) | 0.511 (0.489, 0.533) | 1.020 (1.001, 1.039) | 0.937 (0.874, 1.005) |
| Gompertz, Survival, No bootstrap, Ratio | 1.0 | 0.406 (0.388, 0.425) | 0.418 (0.408, 0.428) | 0.369 (0.346, 0.393) | 1.029 (1.001, 1.058) | 0.908 (0.819, 1.007) |
| Gompertz, Survival, No bootstrap, Ratio | 3.0 | 0.311 (0.293, 0.330) | 0.322 (0.312, 0.333) | 0.275 (0.253, 0.298) | 1.037 (1.001, 1.075) | 0.883 (0.772, 1.009) |
| Gompertz, Survival, Bootstrap, Ratio | 0.5 | 0.545 (0.527, 0.561) | 0.556 (0.546, 0.565) | 0.511 (0.487, 0.531) | 1.020 (0.986, 1.054) | 0.937 (0.882, 0.991) |
| Gompertz, Survival, Bootstrap, Ratio | 1.0 | 0.406 (0.388, 0.424) | 0.418 (0.408, 0.428) | 0.369 (0.344, 0.390) | 1.029 (0.979, 1.079) | 0.908 (0.833, 0.985) |
| Gompertz, Survival, Bootstrap, Ratio | 3.0 | 0.311 (0.292, 0.329) | 0.322 (0.312, 0.334) | 0.275 (0.251, 0.296) | 1.037 (0.973, 1.106) | 0.883 (0.788, 0.976) |
| Royston-Parmar 04, RMST, No bootstrap, Difference | 0.5 | 0.366 (0.363, 0.369) | 0.362 (0.360, 0.364) | 0.337 (0.333, 0.341) | -0.004 (-0.005, -0.003) | -0.029 (-0.033, -0.024) |
| Royston-Parmar 04, RMST, No bootstrap, Difference | 1.0 | 0.488 (0.481, 0.495) | 0.478 (0.474, 0.483) | 0.418 (0.411, 0.426) | -0.010 (-0.013, -0.006) | -0.070 (-0.081, -0.058) |
| Royston-Parmar 04, RMST, No bootstrap, Difference | 3.0 | 0.556 (0.545, 0.567) | 0.541 (0.533, 0.548) | 0.448 (0.438, 0.458) | -0.015 (-0.021, -0.010) | -0.108 (-0.126, -0.090) |
| Royston-Parmar 04, RMST, Bootstrap, Difference | 0.5 | 0.366 (0.363, 0.369) | 0.362 (0.360, 0.364) | 0.337 (0.334, 0.341) | -0.004 (-0.007, 0.000) | -0.029 (-0.034, -0.024) |
| Royston-Parmar 04, RMST, Bootstrap, Difference | 1.0 | 0.488 (0.481, 0.495) | 0.478 (0.473, 0.483) | 0.418 (0.411, 0.425) | -0.010 (-0.017, -0.002) | -0.070 (-0.079, -0.060) |
| Royston-Parmar 04, RMST, Bootstrap, Difference | 3.0 | 0.556 (0.545, 0.566) | 0.541 (0.533, 0.548) | 0.448 (0.438, 0.458) | -0.015 (-0.027, -0.002) | -0.108 (-0.121, -0.094) |
| Royston-Parmar 04, RMST, No bootstrap, Ratio | 0.5 | 0.366 (0.363, 0.369) | 0.362 (0.360, 0.364) | 0.337 (0.333, 0.341) | 0.989 (0.986, 0.993) | 0.921 (0.909, 0.934) |
| Royston-Parmar 04, RMST, No bootstrap, Ratio | 1.0 | 0.488 (0.481, 0.495) | 0.478 (0.474, 0.483) | 0.418 (0.411, 0.426) | 0.980 (0.973, 0.987) | 0.857 (0.836, 0.879) |
| Royston-Parmar 04, RMST, No bootstrap, Ratio | 3.0 | 0.556 (0.545, 0.567) | 0.541 (0.533, 0.548) | 0.448 (0.438, 0.458) | 0.972 (0.963, 0.982) | 0.806 (0.778, 0.835) |
| Royston-Parmar 04, RMST, Bootstrap, Ratio | 0.5 | 0.366 (0.363, 0.369) | 0.362 (0.360, 0.364) | 0.337 (0.334, 0.341) | 0.989 (0.981, 1.000) | 0.921 (0.909, 0.935) |
| Royston-Parmar 04, RMST, Bootstrap, Ratio | 1.0 | 0.488 (0.481, 0.495) | 0.478 (0.473, 0.483) | 0.418 (0.411, 0.425) | 0.980 (0.966, 0.997) | 0.857 (0.840, 0.876) |
| Royston-Parmar 04, RMST, Bootstrap, Ratio | 3.0 | 0.556 (0.545, 0.566) | 0.541 (0.533, 0.548) | 0.448 (0.438, 0.458) | 0.972 (0.951, 0.997) | 0.806 (0.786, 0.830) |
| Royston-Parmar 04, Survival, No bootstrap, Difference | 0.5 | 0.405 (0.396, 0.415) | 0.392 (0.385, 0.399) | 0.307 (0.297, 0.318) | -0.014 (-0.018, -0.009) | -0.098 (-0.114, -0.082) |
| Royston-Parmar 04, Survival, No bootstrap, Difference | 1.0 | 0.135 (0.129, 0.142) | 0.127 (0.122, 0.132) | 0.075 (0.069, 0.080) | -0.009 (-0.012, -0.006) | -0.061 (-0.071, -0.051) |
| Royston-Parmar 04, Survival, No bootstrap, Difference | 3.0 | 0.004 (0.003, 0.004) | 0.003 (0.003, 0.004) | 0.001 (0.001, 0.001) | -0.000 (-0.001, -0.000) | -0.003 (-0.004, -0.002) |
| Royston-Parmar 04, Survival, Bootstrap, Difference | 0.5 | 0.405 (0.395, 0.414) | 0.392 (0.385, 0.398) | 0.307 (0.296, 0.317) | -0.014 (-0.024, -0.002) | -0.098 (-0.111, -0.083) |
| Royston-Parmar 04, Survival, Bootstrap, Difference | 1.0 | 0.135 (0.129, 0.142) | 0.127 (0.122, 0.131) | 0.075 (0.069, 0.080) | -0.009 (-0.017, -0.001) | -0.061 (-0.068, -0.053) |
| Royston-Parmar 04, Survival, Bootstrap, Difference | 3.0 | 0.004 (0.003, 0.004) | 0.003 (0.003, 0.004) | 0.001 (0.001, 0.001) | -0.000 (-0.001, 0.000) | -0.003 (-0.003, -0.002) |
| Royston-Parmar 04, Survival, No bootstrap, Ratio | 0.5 | 0.405 (0.396, 0.415) | 0.392 (0.385, 0.399) | 0.307 (0.297, 0.318) | 0.966 (0.955, 0.977) | 0.758 (0.724, 0.794) |
| Royston-Parmar 04, Survival, No bootstrap, Ratio | 1.0 | 0.135 (0.129, 0.142) | 0.127 (0.122, 0.132) | 0.075 (0.069, 0.080) | 0.935 (0.914, 0.957) | 0.550 (0.498, 0.608) |
| Royston-Parmar 04, Survival, No bootstrap, Ratio | 3.0 | 0.004 (0.003, 0.004) | 0.003 (0.003, 0.004) | 0.001 (0.001, 0.001) | 0.888 (0.848, 0.930) | 0.213 (0.164, 0.278) |
| Royston-Parmar 04, Survival, Bootstrap, Ratio | 0.5 | 0.405 (0.395, 0.414) | 0.392 (0.385, 0.398) | 0.307 (0.296, 0.317) | 0.966 (0.941, 0.996) | 0.758 (0.728, 0.791) |
| Royston-Parmar 04, Survival, Bootstrap, Ratio | 1.0 | 0.135 (0.129, 0.142) | 0.127 (0.122, 0.131) | 0.075 (0.069, 0.080) | 0.935 (0.880, 0.993) | 0.550 (0.508, 0.599) |
| Royston-Parmar 04, Survival, Bootstrap, Ratio | 3.0 | 0.004 (0.003, 0.004) | 0.003 (0.003, 0.004) | 0.001 (0.001, 0.001) | 0.888 (0.760, 1.064) | 0.213 (0.175, 0.265) |
Sys.getenv("R_LIBS_USER")[1] "C:/Users/CISS Fondecyt/OneDrive/Documentos/R/win-library/4.1"rstudioapi::getSourceEditorContext()Document Context:
- id: '2728DA37'
- path: 'C:/Users/CISS Fondecyt/Mi unidad/Alvacast/SISTRAT 2019 (github)/joel/analisis_joel23.Rmd'
- contents: <467 rows>
Document Selection:
- [427, 27] -- [427, 27]: ''save.image("__analisis_joel23.RData")
unlink("*_cache", recursive = T, force = T, expand = TRUE)
sesion_info <- devtools::session_info()
dplyr::select(
tibble::as_tibble(sesion_info$packages),
c(package, loadedversion, source)
) %>%
DT::datatable(filter = 'top', colnames = c('Row number' =1,'Variable' = 2, 'Percentage'= 3),
caption = htmltools::tags$caption(
style = 'caption-side: top; text-align: left;',
'', htmltools::em('Paquetes estadísticos utilizados')),
options=list(
initComplete = htmlwidgets::JS(
"function(settings, json) {",
"$(this.api().tables().body()).css({'font-size': '80%'});",
"}")))