Sample size calculation for simulation-based multiple-testing procedures.

Heejung Bang; Sin-Ho Jung; Stephen L George

doi:10.1080/10543400500265710

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Sample size calculation for simulation-based multiple-testing procedures.

Heejung Bang·Sin-Ho Jung·Stephen L George

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Abstract

In this article, we present a simple method to calculate sample size and power for a simulation-based multiple testing procedure which gives a sharper critical value than the standard Bonferroni method. The method is especially useful when several highly correlated test statistics are involved in a multiple-testing procedure. The formula for sample size calculation will be useful in designing clinical trials with multiple endpoints or correlated outcomes. We illustrate our method with a quality-of-life study for patients with early stage prostate cancer. Our method can also be used for comparing multiple independent groups.

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Computer Simulation Data Interpretation, Statistical Humans Male Models, Statistical Prostatic Neoplasms Quality of Life Research Design Sample Size Treatment Outcome Journal Article

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Heejung Bang, Sin-Ho Jung, Stephen L George. 2005. Sample size calculation for simulation-based multiple-testing procedures.. https://doi.org/10.1080/10543400500265710

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