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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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
adjusting for covariatesanalysis methodclancluster randomized trialcluster summary analysisfew clustersgroup randomized trialst0727stratified trial

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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.