Hi Rs, I am analyzing a time to event dataset with several competing risks.
0 = Active by end of study 1 = Stopped treatment to start another treatment 2 = Lost 3 = Dead My event of interest in Lost to Followup but starting a different treatment and dying are competing risks. All 1,2,3 events are events of exiting the study, but it's only 2-LTFU that we are concerned with (I know I am repeating myself, sorry). I can't seem to find a package or function that can handle 2 competing risks for the main event. I realize I may be using the well-known ones, timereg and cmprisk, wrong. And if I am, then I'd appreciate a correction. Here's the model I tried (and it crashes) comp.risk(Surv(futime, retention==2) ~ sex, data=dta, dta$retention, causeS=c(1,3), resample.iid=1, n.sim=100) I apologize, but I am cannot create the example dataset using code. I am not able. The data, though is one to one. ID retention sex futime ------------------------------------ 1 0 1 524.3 etc. Thank you, in advance, if you can help me. Best, Jen [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.