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).

Imports: pracma, survival
Published: 2022-03-09
Author: Xueqi Wang [aut, cre], Elizabeth Turner [aut], Fan Li [aut]
Maintainer: Xueqi Wang < at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: CoxBcv results


Reference manual: CoxBcv.pdf


Package source: CoxBcv_0.0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
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


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