Power analysis for stratified cluster randomisation trials with cluster size being the stratifying factor

DOI10.1080/24754269.2017.1347309OpenAlexW2768909647MaRDI QIDQ5880170

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Publication date: 7 March 2023

Published in: Statistical Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/24754269.2017.1347309

zbMATH Keywords

sample sizepowerclinical trialsstratifiedcluster sizecluster randomisation trial

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Power analysis for cluster randomized trials with multiple binary co‐primary endpoints

Cites Work

• An evaluation of simple methods for the estimation of a common odds ratio in clusters with variable size
• Sample Size Estimation in Cluster Randomized Studies with Varying Cluster Size
• Confidence Interval Estimation of the Intraclass Correlation Coefficient for Binary Outcome Data
• Sample Size for Case-Control Studies Using Cochran's Statistic
• On the use of a working correlation matrix in using generalised linear models for repeated measures
• Chi-Square Tests with One Degree of Freedom; Extensions of the Mantel- Haenszel Procedure
• Unnamed Item

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