Thanks.:)
On Sat, Mar 16, 2013 at 12:51 PM, Heinz Tuechler <tuech...@gmx.at> wrote: > Dear Terry, > > as soon as the vignette is ready, I would be very happy, to know about it. > Will you send a note to r-help, or will it be announced in some other way? > > best regards, > > Heinz > > > On 08.03.2013 15:12, Terry Therneau wrote: > >> -- begin included message -- >> I have a competing risk data where a patient may die from either AIDS or >> Cancer. I want to compare the cox model for each of the event of interest >> with a competing risk model. In the competing risk model the cumulative >> incidence function is used directly. >> >> -end inclusion --- >> If you do want to persue the Fine-Gray model I would suggest using >> software that already exists. Find the "Task Views" tab on CRAN, and >> follow it to "survival" and then look at the competing risks section. >> There is a lot to offer. I would trust it more than rolling your own >> function. >> >> As an aside, modeling the subdistribution function is ONE way of >> dealing with competing risks, but not everyone thinks that it is the >> best way to proceed. The model corresponds to a biology that I find >> unlikely, though it makes for nice math. Since the alternative is >> discussed in a vignette that I haven't-yet-quite-written we won't persue >> that any further, however. :-) >> >> Terry Therneau >> >> ______________________________**________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >> PLEASE do read the posting guide >> http://www.R-project.org/**posting-guide.html<http://www.R-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> >> [[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.
