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.
- Version1.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release11/02/2021
Documentation
Team
Xinyuan Chen
Fan Li
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Last 30 days
This package has been downloaded 159 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
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Last 365 days
This package has been downloaded 2,307 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 67 downloads.
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Dependencies
- Depends4 packages