crrstep: 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.
- Ravi Varadhan & Deborah Kuk
- Date of publication
- 2015-02-23 23:17:17
- Ravi Varadhan <firstname.lastname@example.org>
- GPL (>= 2)
- Stepwise regression for competing risks regression
- Stepwise regression procedure for the Fine & Gray regression...
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