[R] Calculating Cumulative Incidence Function
Jose.Iparraguirre at ageuk.org.uk
Tue Feb 5 11:58:26 CET 2013
You can read Scrucca, L.; Santucci, A. and Aversa, F. (2007) "Competing risk analysis using R: an easy guide for clinicians", Bone Marrow Transplantation, 40, 381-387, and also Brock, G.; Barnes, C.; Ramirez, J. and Myers, J. (2011) "R code for calculating the competing risks estimates" (freely available on the Web).
Both papers describe the package cmprsk.
Also, the packages etm and timereg compute Cumulative Incidence Functions. For the former, there's a useful vignette and for the latter, there's a paper by Scheike and Zhang (2011) "Analyzing Competing Risk Data Using the R timereg Package", Journal of Statistical Software; 38(2): i02
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Tasnuva Tabassum
Sent: 05 February 2013 03:53
To: r-help at r-project.org
Subject: [R] Calculating Cumulative Incidence Function
I have a problem regarding calculation of Cumulative Incidence Function.
The event of interest is failure of bone-marrow transplantation, which may
occur due to relapse or death in remission. The data set that I have
consists of- lifetime variable, two indicator variables-one for relapse and
one for death in remission, and the other variables are donor type (having
3 categories), disease type(having 3 categories), disease stage(having 3
categories) and karnofsky score (having 2 categories).
I want to create an R function for cumulative incidence function for the
event (failure of bone-marrow transplantation) due to relapse (cause-1) and
also for the event (failure of bone-marrow transplantation) due to death in
remission (cause-2). Can anyone help me please?
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