Additional crossovers in cluster randomised crossover trials do not always increase statistical power

When an exchangeable or block-exchangeable within-cluster correlation structure and a time-invariant effect of treatment are assumed, power calculations for CRXO designs are invariant to the specific ordering of treatment conditions. In particular, a CRXO design with additional crossovers does not lead to increased statistical power compared to a CRXO design with just one crossover for these within-cluster correlation structures. Further work is required to investigate the utility of multiple crossovers in situations where the treatment effect varies over time.

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Publication Details

Journal
Clinical Trials
Published
2026-03-28
DOI
https://doi.org/10.1177/17407745261431140
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
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article

Additional crossovers in cluster randomised crossover trials do not always increase statistical power

Kelsey L. Grantham, KM Tanvir, Jessica Kasza, Andrew B Forbes
Clinical Trials
Optimal Experimental Design Methods
article

Additional crossovers in cluster randomised crossover trials do not always increase statistical power

Kelsey L. Grantham, KM Tanvir, Jessica Kasza, Andrew B Forbes
article en

Abstract

When an exchangeable or block-exchangeable within-cluster correlation structure and a time-invariant effect of treatment are assumed, power calculations for CRXO designs are invariant to the specific ordering of treatment conditions. In particular, a CRXO design with additional crossovers does not lead to increased statistical power compared to a CRXO design with just one crossover for these within-cluster correlation structures. Further work is required to investigate the utility of multiple crossovers in situations where the treatment effect varies over time.

Clinical Trials
University of Dhaka (BD), Monash University (AU)
Openalex Percentile: Top 4%
Optimal Experimental Design Methods
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