crrstep: Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model
Version 2015-2.1

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.

Package details

AuthorRavi Varadhan & Deborah Kuk
Date of publication2015-02-23 23:17:17
MaintainerRavi Varadhan <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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crrstep documentation built on May 29, 2017, 8 p.m.