Sample size calculation for simulation-based multiple-testing procedures

Heejung Bang, Sin-Ho Jung, Stephen L George
Journal of Biopharmaceutical Statistics 2005, 15 (6): 957-67
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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