Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model

Performs forward and backwards stepwise regression for the Proportional subdistribution hazards model in competing risks (Fine & Gray 1999). Procedure uses AIC, BIC and BICcr as selection criteria. BICcr has a penalty of k = log(n*), where n* is the number of primary events.


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install.packages("crrstep")

2015-2.1 by Ravi Varadhan, 4 years ago


Browse source code at https://github.com/cran/crrstep


Authors: Ravi Varadhan & Deborah Kuk


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL (>= 2) license


Depends on cmprsk


Suggested by pec.


See at CRAN