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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2015-2.1 by Ravi Varadhan, 7 years ago

Browse source code at

Authors: Ravi Varadhan & Deborah Kuk

Documentation:   PDF Manual  

Task views: Survival Analysis

GPL (>= 2) license

Depends on cmprsk

Suggested by pec.

See at CRAN