R package 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.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Eric S Kawaguchi, Jenny I Shen, Gang Li, Marc A Suchard: A Fast and Scalable Implementation Method for Competing Risks Data with the R Package fastcmprsk (2019) arXiv
- Ahn, Kwang Woo; Banerjee, Anjishnu; Sahr, Natasha; Kim, Soyoung: Group and within-group variable selection for competing risks data (2018)