crrcbcv: Bias-Corrected Variance for Competing Risks Regression with Clustered Data

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>.

Version: 1.0
Depends: R (≥ 3.5.0), crrSC, abind, pracma, survival, stats
Published: 2021-11-02
Author: Xinyuan Chen [aut, cre, cph], Fan Li [aut]
Maintainer: Xinyuan Chen <xchen at math.msstate.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: crrcbcv results

Documentation:

Reference manual: crrcbcv.pdf

Downloads:

Package source: crrcbcv_1.0.tar.gz
Windows binaries: r-devel: crrcbcv_1.0.zip, r-release: crrcbcv_1.0.zip, r-oldrel: crrcbcv_1.0.zip
macOS binaries: r-release (arm64): crrcbcv_1.0.tgz, r-release (x86_64): crrcbcv_1.0.tgz, r-oldrel: crrcbcv_1.0.tgz

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