Author: Bang Heejung
Publisher: Taylor & Francis Ltd
ISSN: 1054-3406
Source: Journal of Biopharmaceutical Statistics, Vol.15, Iss.6, 2005-01, pp. : 957-967
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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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