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

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).

Version: 0.0.1.0
Imports: pracma, survival
Published: 2022-03-09
DOI: 10.32614/CRAN.package.CoxBcv
Author: Xueqi Wang [aut, cre], Elizabeth Turner [aut], Fan Li [aut]
Maintainer: Xueqi Wang <xueqi.wang at duke.edu> [email to maintainer is undeliverable]
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: CoxBcv results

Documentation:

Reference manual: CoxBcv.html , CoxBcv.pdf

Downloads:

Package source: CoxBcv_0.0.1.0.tar.gz
Windows binaries: r-devel: CoxBcv_0.0.1.0.zip, r-release: CoxBcv_0.0.1.0.zip, r-oldrel: CoxBcv_0.0.1.0.zip
macOS binaries: r-release (arm64): CoxBcv_0.0.1.0.tgz, r-oldrel (arm64): CoxBcv_0.0.1.0.tgz, r-release (x86_64): CoxBcv_0.0.1.0.tgz, r-oldrel (x86_64): CoxBcv_0.0.1.0.tgz

Linking:

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