search for: survminer

Hi all,? The survdiff() from survival package has an argument "rho" that implements Fleming-Harrington weighted long rank test.? But according to several sources including "survminer" package (https://cran.r-project.org/web/packages/survminer/vignettes/Specifiying_weights_in_log-rank_comparisons.html), Fleming-Harrington weighted log-rank test should have 2 parameters "p" and "q" to control the weighting for earlier vs later times in the follow-up. For...

...2018, at 4:02 PM, array chip via R-help <r-help at r-project.org> wrote: > > Hi all, > > The survdiff() from survival package has an argument "rho" that implements Fleming-Harrington weighted long rank test. > > But according to several sources including "survminer" package (https://cran.r-project.org/web/packages/survminer/vignettes/Specifiying_weights_in_log-rank_comparisons.html), Fleming-Harrington weighted log-rank test should have 2 parameters "p" and "q" to control the weighting for earlier vs later times in the follow-up. >...

...chip via R-help <r-help at r-project.org> wrote: >> >> Hi all, >> >> The survdiff() from survival package has an argument "rho" that implements Fleming-Harrington weighted long rank test. >> >> But according to several sources including "survminer" package (https://cran.r-project.org/web/packages/survminer/vignettes/Specifiying_weights_in_log-rank_comparisons.html), Fleming-Harrington weighted log-rank test should have 2 parameters "p" and "q" to control the weighting for earlier vs later times in the follow-up. >...

Tengo un modelo de regresión de Cox y quiero obtener el plot ajustado por una covariable (sexo) con la función ?ggadjustedcurves?, pero me da el siguiente error: > cox2 <- coxph(os ~ imc_25 + sexo.1, data = datos) > cox2 Call: coxph(formula = os ~ imc_25 + sexo.1, data = datos) coef exp(coef) se(coef) z p imc_25 -0.621 0.537 0.299 -2.08 0.038 sexo.1M 0.714

For adjusted survival curves I took the sample code from here: https://rpubs.com/daspringate/survival and adapted for my date, but got error. I would like to understand what is my mistake. Thanks! #ADAPTATION FOR MY DATA library(survival) library(survminer) df<-read.csv("F:/R/data/base.csv", header = TRUE, sep = ";") head(df) ID start stop censor sex age stage treatment 1 1 0 66 0 2 1 3 1 2 2 0 18 0 1 2 4 2 3 3 0 43 1 2 3 3 1 4 4 0 47 1 2 3 NA 2 5 5 0 26 0 1 4 3 NA S <- Surv( time = df$start, time2 = df$stop, event = df$c...

For adjusted survival curves I took the sample code from here: https://rpubs.com/daspringate/survival and adapted for my date, but ... have a QUESTION. library(survival) library(survminer) df<-read.csv("base.csv", header = TRUE, sep = ";") head(df) ID start stop censor sex age stage treatment 1 1 0 66 0 2 1 3 1 2 2 0 18 0 1 2 4 2 3 3 0 43 1 2 3 3 1 4 4 0 47 1 2 3 NA 2 5 5 0 26 0 1 4 3 NA # THANKS, DAVID WINSEMIUS for remark!!! ("R regression functions al...

...t work, because the covariates are not factors. 2. Jeff Newmiller: "Change the columns into factors before you give them to the coxph function, e.g. df$treatment <- as.factor(df$treatment)" And I study David Winsemius's instructions.THANKS!!! Code works: library(survival) library(survminer) df<-read.csv("F:/R/data/edgr-orig.csv", header = TRUE, sep = ";") head(df) # "age" means the age groups ID start stop censor sex age stage treatment 1 0 66 0 2 1 3 1 2 0 18 0 1 2 4 2 3 0 43 1 2 3 3 1 4...

Adjusted survival curves. (Sample code here: https://rpubs.com/daspringate/survival ) Deep gratitude?to Moderator/Admin! At?David Winsemius prompt, more elegant working code:Thanks, Ted :) library(survival) library(survminer) df<-read.csv("F:/R/data/edgr-orig.csv", header = TRUE, sep = ";") df2 <- df df2[,c('treatment', 'age', 'sex', 'stage')] <- lapply(df2[,c('treatment', 'age', 'sex', 'stage')], factor) model <- coxph (S...