Performance of methods for analyzing continuous data from stratified cluster randomized trials - A simulation study.

ABSTRACT:

Background

The adoption of cluster randomized trials (CRTs) with the stratified design is currently gaining widespread interest. In the stratified design, clusters are first grouped into two or more strata and then randomized into treatment groups within each stratum. In this study, we evaluated the performance of several commonly used methods for analyzing continuous data from stratified CRTs.

Methods

This is a simulation study where we compared four methods: mixed-effects, generalized estimating equation (GEE), cluster-level (CL) linear regression and meta-regression methods to analyze the continuous data from stratified CRTs using a simulation study with varying numbers of clusters, cluster sizes, intra-cluster correlation coefficients (ICCs) and effect sizes. This study

SUBMITTER: Borhan S 

PROVIDER: S-EPMC10313865 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature