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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Bang, H; Jung, S-H; George, SL

Published Date

  • 2005

Published In

Volume / Issue

  • 15 / 6

Start / End Page

  • 957 - 967

PubMed ID

  • 16279354

Pubmed Central ID

  • 16279354

International Standard Serial Number (ISSN)

  • 1054-3406

Digital Object Identifier (DOI)

  • 10.1080/10543400500265710

Language

  • eng

Conference Location

  • England