Message-ID: <fbe6a7a4bd72.49a8287b@johnshopkins.edu>
Date: 2009-02-27T22:52:59Z
From: Ravi Varadhan
Subject: Competing risks adjusted for covariates
In-Reply-To: <807B01905E122642ACFED8271250B0C3044515AD@me-mail1.medlan.cam.ac.uk>
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.