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]]
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: rvaradhan at jhmi.edu ----- Original Message ----- From: Eleni Rapsomaniki <er339 at medschl.cam.ac.uk> Date: Friday, February 27, 2009 2:42 pm Subject: [R] Competing risks adjusted for covariates To: r-help at 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 at r-project.org mailing list > > PLEASE do read the posting guide > and provide commented, minimal, self-contained, reproducible code.
You could try the prodlim package. Best regards, Arthur Allignol On Fri, 27 Feb 2009 19:36:31 -0000 "Eleni Rapsomaniki" <er339 at medschl.cam.ac.uk> wrote:> > 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 at 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.
Maybe Matching Threads
- Competing risks Kalbfleisch & Prentice method
- turning off specific types of warnings
- Running cumulative sums in matrices
- survreg vs. aftreg (eha) - the relationship between fitted coefficients?
- putting the mark for censored time on 1-KM curve or competing risk curve