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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).

Versions across snapshots

VersionRepositoryFileSize
0.0.1.0 rolling linux/jammy R-4.5 CoxBcv_0.0.1.0.tar.gz 96.6 KiB
0.0.1.0 rolling linux/noble R-4.5 CoxBcv_0.0.1.0.tar.gz 96.5 KiB
0.0.1.0 rolling source/ R- CoxBcv_0.0.1.0.tar.gz 7.0 KiB
0.0.1.0 latest linux/jammy R-4.5 CoxBcv_0.0.1.0.tar.gz 96.6 KiB
0.0.1.0 latest linux/noble R-4.5 CoxBcv_0.0.1.0.tar.gz 96.5 KiB
0.0.1.0 latest source/ R- CoxBcv_0.0.1.0.tar.gz 7.0 KiB
0.0.1.0 2026-04-26 source/ R- CoxBcv_0.0.1.0.tar.gz 7.0 KiB
0.0.1.0 2026-04-23 source/ R- CoxBcv_0.0.1.0.tar.gz 7.0 KiB
0.0.1.0 2026-04-09 windows/windows R-4.5 CoxBcv_0.0.1.0.zip 99.1 KiB
0.0.1.0 2025-04-20 source/ R- CoxBcv_0.0.1.0.tar.gz 7.0 KiB

Dependencies (latest)

Imports