geeCRT

geeCRT: a package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials

Population-averaged models have been increasingly used in the design and analysis of
cluster randomized trials (CRTs). To facilitate the applications of population-averaged
models in CRTs, the package implements the generalized estimating equations (GEE) and
matrix-adjusted estimating equations (MAEE) approaches to jointly estimate the marginal
mean models correlation models both for general CRTs and stepped wedge CRTs. Despite the
general GEE/MAEE approach, the package also implements a fast cluster-period GEE method
specifically for stepped wedge CRTs with large and variable cluster-period sizes and gives
a simple and efficient estimating equations approach based on the cluster-period means to
estimate the intervention effects as well as correlation parameters. In addition, the package
also provides functions for generating correlated binary data with specific mean vector and
correlation matrix based on the multivariate probit method in Emrich and Piedmonte (1991) <doi:10.1080/00031305.1991.10475828> or
the conditional linear family method in Qaqish (2003) <doi:10.1093/biomet/90.2.455>.

Hengshi Yu

Bias-Corrected GEE for Cluster Randomized Trials

Fan Li

Paul Rathouz

Elizabeth L. Turner

John Preisser

geeCRT function

The simbinPROBIT function performs correlated binary outcome data simulation using the multivariate probit method
The simbinCLF function performs correlated binary outcome data simulation using the conditional linear family method
The cpgeeSWD function performs cluster-period generalized estimating equations for estimating the marginal mean and correlation parameters in cross-sectional stepped wedge cluster randomized trials
The geemaee function performs matrix-adjusted generalized estimating equations on estimating the marginal mean and correlation parameters in cluster randomized trials

geeCRT: geeCRT: a package for implementing the bias-corrected generalized estimating equations in analyzing cluster randomized trials

Description

Arguments

geeCRT functions