Hi all, I've been reading and using the information from the list for some time but this is my first question here. English is not my primary language, so sorry in advance for any language mistakes. :)
I'm working with the "timereg" package to analize survival data. I want to perform a multivariate analisis of clinical information similar to the Cox regression but taking competing risks into account. I have taken a look to the documentation of the package and decided to use the Fine and Gray model and I use the command: fg<-comp.risk(Surv(recact, statusRecaiguda>0)~const(font.PH)+const(earlyadvan)+const(mini)+const(edatmes41)+const(DONRS10925027dosgrups)+const(RECRS11665831dosgrups), dadesRec, dadesRec$statusRecaiguda, timesRec[-1], causeS=1, resample.iid=1, model="prop", detail=1) The results are ok and coherent with my previous experiments but I dont know how to get the equivalent to the Relative Risks I get when applying th Cox model. Is it possible to compute it? can I get it using another command? Thanks a lot for any help Bernat [[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.