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.
Original language | English (US) |
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Pages (from-to) | 957-967 |
Number of pages | 11 |
Journal | Journal of Biopharmaceutical Statistics |
Volume | 15 |
Issue number | 6 |
DOIs | |
State | Published - 2005 |
Externally published | Yes |
Keywords
- Bonferroni
- Global test
- Multiple endpoints
- Multiple testing
- Sample size
- Simulation
ASJC Scopus subject areas
- Pharmacology (medical)
- Pharmacology, Toxicology and Pharmaceutics(all)