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.
| Version: |
2013-02.12 |
| Depends: |
cmprsk (≥ 2.2-4) |
| Published: |
2013-02-16 |
| Author: |
Ravi Varadhan & Deborah Kuk |
| Maintainer: |
Ravi Varadhan <rvaradhan at jhmi.edu> |
| License: |
GPL (≥ 2) |
| NeedsCompilation: |
no |
| In views: |
Survival |
| CRAN checks: |
crrstep results |
Downloads:
Reverse dependencies: