Dear listers,
With the current version of the 'cmprsk' package it is not possible to
include (non-continuously) time-dependent covariates in a Fine + Gray
competing risks regression model. Is anyone aware of a workaround, or
could an updated cmprsk package be underway? My current workaround is
___
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: kende jan
Date: Sunday, August 2, 2009 6:01 am
Subject: [
Hello,
I have a question regarding competing risk regression using cmprsk package
(function crr()). I am using R2.9.1. How can I do to assess the effect of
qualitative predictor (gg) with more than two categories (a,b,c) categorie c is
the reference category. See above results, gg is considered
Dear R users,
I used crr function in R package 'cmprsk' to fit a competing risks
model. There were no any error or
warning messages during running the function, but the output was obvious
not correct.
I saved the model fit as an object called f.crr. I extracted bfitj from
the object by doi
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