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crrcbcv  

Bias-Corrected Variance for Competing Risks Regression with Clustered Data
View on CRAN: Click here


Download and install crrcbcv package within the R console
Install from CRAN:
install.packages("crrcbcv")

Install from Github:
library("remotes")
install_github("cran/crrcbcv")

Install by package version:
library("remotes")
install_version("crrcbcv", "1.0")



Attach the package and use:
library("crrcbcv")
Maintained by
Xinyuan Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-02
Latest Update: 2021-11-02
Description:
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) , the KC-type bias correction by Kauermann and Carroll (2001) , the FG-type bias correction by Fay and Graubard (2001) , and the MBN-type bias correction by Morel, Bokossa, and Neerchal (2003) .
How to cite:
Xinyuan Chen (2021). crrcbcv: Bias-Corrected Variance for Competing Risks Regression with Clustered Data. R package version 1.0, https://cran.r-project.org/web/packages/crrcbcv. Accessed 26 Oct. 2026.
Previous versions and publish date:
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Complete documentation for crrcbcv
Functions, R codes and Examples using the crrcbcv R package
Some associated functions: cls . crrcbcv . 
Some associated R codes: cls.R . crrcbcv.R .  Full crrcbcv package functions and examples
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