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Sample Size Determination in the Presence of Uncertainty: A Hybrid Classical-Bayesian Approach for Two-Level Cluster Randomized Trials
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Winnie Wing-Yee Tse; Hok Chio Lai – Society for Research on Educational Effectiveness, 2021
Background: Power analysis and sample size planning are key components in designing cluster randomized trials (CRTs), a common study design to test treatment effect by randomizing clusters or groups of individuals. Sample size determination in two-level CRTs requires knowledge of more than one design parameter, such as the effect size and the…
Descriptors: Sample Size, Bayesian Statistics, Randomized Controlled Trials, Research Design