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) |
|---|---|
| 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)
Fingerprint Dive into the research topics of 'Sample size calculation for simulation-based multiple-testing procedures'. Together they form a unique fingerprint.
Cite this
Bang, H., Jung, S. H., & George, S. L. (2005). Sample size calculation for simulation-based multiple-testing procedures. Journal of Biopharmaceutical Statistics, 15(6), 957-967. https://doi.org/10.1080/10543400500265710