Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances

DOI10.1002/sim.9811zbMATH Open1547.62482MaRDI QIDQ6626864

Guangyu Tong, Monica Taljaard, Unnamed Author

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

heterogeneous treatment effectscluster randomized trialintracluster correlation coefficientbetween-arm heterogeneityindividually randomized group treatment trialpartially nested design

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Between- and Within-Cluster Covariate Effects in the Analysis of Clustered Data
• Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation
• Using simulation studies to evaluate statistical methods
• Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity
• Optimal design of cluster randomized trials allowing unequal allocation of clusters and unequal cluster size between arms
• Sample size requirements for detecting treatment effect heterogeneity in cluster randomized trials

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Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs

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