Hi Tasnuva,
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
Regards,
Jos? Iparraguirre
Chief Economist
Age UK
-----Original Message-----
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
Hello,
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?
Tas.
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