[R] Competing risks adjusted for covariates

[Ravi Varadhan]

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.