Bias-Corrected Variance for Competing Risks Regression with Clustered Data R package crrcbcv version 1.0 A user friendly function 'crrcbcv' to compute bias-corrected variances for competing risks regression models using proportional subdistribution hazards with small-sample clustered data. Four types of bias correction are included: the MD-type bias correction by Mancl and DeRouen (2001) <doi:10.1111/j.0006-341X.2001.00126.x>, the KC-type bias correction by Kauermann and Carroll (2001) <doi:10.1198/016214501753382309>, the FG-type bias correction by Fay and Graubard (2001) <doi:10.1111/j.0006-341X.2001.01198.x>, and the MBN-type bias correction by Morel, Bokossa, and Neerchal (2003) <doi:10.1002/bimj.200390021>. Software Depends: R (>= 3.5.0), crrSC, abind, pracma, survival, stats Xinyuan Chen <xchen@math.msstate.edu> Comprehensive R Archive Network (CRAN) Xinyuan Chen [aut, cre, cph], Fan Li [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=crrcbcv/LICENSE) 2021-11-02 application/tgz https://CRAN.R-project.org/package=crrcbcv doi:10.32614/CRAN.package.crrcbcv