What question did this study set out to answer?

This research aims to develop maximin designs for multicenter trials that optimize participant allocation and minimize budget requirements while achieving desired power.

July 23, 2026Statistics in Medicine

Designing Efficient Multicenter Trials With a Maximin Strategy

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Authors

MCMath J. J. M. CandelMaastricht University GBGerard van BreukelenMaastricht University

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Implication

Randomized trial designs minimize subjects and costs for continuous outcomes, suggesting efficient strategies for multicenter studies.

Key Points

This research aims to develop maximin designs for multicenter trials that optimize participant allocation and minimize budget requirements while achieving desired power.
Presented designs minimize the number of subjects and budget for two-treatment trials.
Optimized allocation ratio and balance between number of centers and participants per center.
Derived maximin designs for fixed and variable center/sample sizes using prior knowledge of variance parameters.
Maximin designs ensure specified power levels across unknown parameter ranges.
Empirical example illustrates effective sample size calculation and budget savings.
An interactive R Shiny app supports quick sample size calculations for practitioners.

Cite This Study

Candel et al. (2026) studied this question.

synapsesocial.com/papers/6a61b004faa9903c5116aadb https://doi.org/10.1002/sim.70677

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Designing Efficient Multicenter Trials With a Maximin Strategy

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Implication

Key Points

Cite This Study

Designing Efficient Multicenter Trials With a Maximin Strategy

Discussion

Member takes

Implication

Key Points

Cite This Study

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