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CoxBcv (version 0.0.1.0)

Bias-Corrected Sandwich Variance Estimators for Marginal Cox Analysis of Cluster Randomized Trials

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).

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Version

Install

install.packages('CoxBcv')

Monthly Downloads

218

Version

0.0.1.0

License

GPL (>= 2)

Maintainer

Xueqi Wang

Last Published

March 9th, 2022

Functions in CoxBcv (0.0.1.0)

CoxBcv.kc

Kauermann and Carroll (KC) bias-corrected sandwich variance estimator
CoxBcv.mbn

Morel, Bokossa, and Neerchal (MBN) bias-corrected sandwich variance estimator
CoxBcv.mr

Martingale residual (MR) bias-corrected sandwich variance estimator
CoxBcv.fg

Fay and Graubard (FG) bias-corrected sandwich variance estimator
CoxBcv.fgmr

Hybrid FGMR bias-corrected sandwich variance estimator
CoxBcv.md

Mancl and DeRouen (MD) bias-corrected sandwich variance estimator
CoxBcv.kcmr

Hybrid KCMR bias-corrected sandwich variance estimator
CoxBcv.rob

Uncorrected robust sandwich variance estimator
CoxBcv.mdmr

Hybrid MDMR bias-corrected sandwich variance estimator
CoxBcv.mbnmr

Hybrid MBNMR bias-corrected sandwich variance estimator