An online sample size calculator for designing partially clustered trials

Partial clustering affects the power and sample size requirements of clinical trials. The calculator presented in this article allows trialists to account for the clustering that occurs in two-arm partially clustered trials for binary and continuous outcomes and ensure their trials are appropriately powered.

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Publication Details

Journal
Clinical Trials
Published
2026-01-30
DOI
https://doi.org/10.1177/17407745251415536
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

An online sample size calculator for designing partially clustered trials

Jessica Kasza, T. Sullivan, LN Yelland, Kylie M. Lange
Clinical Trials
Statistical Methods and Bayesian Inference
article

An online sample size calculator for designing partially clustered trials

Jessica Kasza, T. Sullivan, LN Yelland, Kylie M. Lange
article en

Abstract

Partial clustering affects the power and sample size requirements of clinical trials. The calculator presented in this article allows trialists to account for the clustering that occurs in two-arm partially clustered trials for binary and continuous outcomes and ensure their trials are appropriately powered.

Clinical Trials
South Australian Health and Medical Research Institute (AU), Monash University (AU), The University of Adelaide (AU)
Openalex Percentile: Top 75%
Statistical Methods and Bayesian Inference
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An online sample size calculator for designing partially clustered trials — Jessica Kasza, T. Sullivan, et al. · Clinical Trials (2026) | TGRS Research Map | TGRS