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CoxBcv  

Bias-Corrected Sandwich Variance Estimators for Marginal Cox Analysis of Cluster Randomized Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CoxBcv", "0.0.1.0")



Attach the package and use:
library("CoxBcv")
Maintained by
Xueqi Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-09
Latest Update: 2022-03-09
Description:
The implementation of bias-corrected sandwich variance estimators for the analysis of cluster randomized trials with time-to-event outcomes using the marginal Cox model, proposed by Wang et al. (under review).
How to cite:
Xueqi Wang (2022). CoxBcv: Bias-Corrected Sandwich Variance Estimators for Marginal Cox Analysis of Cluster Randomized Trials. R package version 0.0.1.0, https://cran.r-project.org/web/packages/CoxBcv. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited CoxBcv R package
View CoxBcv citation profile
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Complete documentation for CoxBcv
Functions, R codes and Examples using the CoxBcv R package
Some associated functions: CoxBcv.fg . CoxBcv.fgmr . CoxBcv.kc . CoxBcv.kcmr . CoxBcv.mbn . CoxBcv.mbnmr . CoxBcv.md . CoxBcv.mdmr . CoxBcv.mr . CoxBcv.rob . 
Some associated R codes: CoxBcv.fg.R . CoxBcv.fgmr.R . CoxBcv.kc.R . CoxBcv.kcmr.R . CoxBcv.mbn.R . CoxBcv.mbnmr.R . CoxBcv.md.R . CoxBcv.mdmr.R . CoxBcv.mr.R . CoxBcv.rob.R .  Full CoxBcv package functions and examples
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