Check out the crr() function in the same package: library(cmprsk) ?crr
Ravi. ____________________________________________________________________ Ravi Varadhan, Ph.D. Assistant Professor, Division of Geriatric Medicine and Gerontology School of Medicine Johns Hopkins University Ph. (410) 502-2619 email: rvarad...@jhmi.edu ----- Original Message ----- From: Eleni Rapsomaniki <er...@medschl.cam.ac.uk> Date: Friday, February 27, 2009 2:42 pm Subject: [R] Competing risks adjusted for covariates To: r-help@r-project.org > Dear R-users > > Has anybody implemented a function/package that will compute an > individual's risk of an event in the presence of competing risks, > adjusted for the individual's covariates? > > The only thing that seems to come close is the cuminc function from > cmprsk package, but I would like to adjust for more than one covariate > (it allows you to stratify by a single grouping vector). > > Any help/tips will be extremely appreciated. > > Eleni Rapsomaniki > Research Associate > Cambridge > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > > PLEASE do read the posting guide > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ 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.
