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Cluster randomized controlled trial analysis at the cluster level: The clan command
Jennifer A Thompson1, Baptiste Leurent2, Stephen Nash3
1Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, U.K.
The Stata Journal
|October 18, 2023
Summary
A new command called clan simplifies cluster-level analysis for cluster randomized trials. It efficiently adjusts for covariates and stratified designs for various outcome types.
Area of Science:
- Biostatistics
- Clinical Trials Methodology
Background:
- Cluster randomized trials (CRTs) are increasingly used in various research fields.
- Analyzing CRTs requires specialized statistical methods to account for the clustered nature of data.
- Existing methods may not efficiently handle complex designs or covariate adjustments.
Purpose of the Study:
- Introduce a new statistical command, clan, for the analysis of cluster randomized trials.
- Provide a user-friendly tool for researchers conducting CRTs.
- Facilitate robust analysis by simplifying covariate adjustment and stratified design incorporation.
Main Methods:
- The clan command performs cluster-level analysis.
- It allows for the adjustment of individual- and cluster-level covariates.
- The command accommodates stratified designs within CRTs.
Main Results:
- The clan command offers a streamlined approach to CRT analysis.
- It simplifies the process of accounting for complex design features.
- Applicable to continuous, binary, and rate outcome data.
Conclusions:
- The clan command is a valuable tool for biostatisticians and researchers.
- It enhances the efficiency and accuracy of cluster randomized trial analysis.
- Promotes wider adoption and rigorous analysis of CRTs across disciplines.
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