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]]
______________________________________________
[email protected] 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.
