Sample size calculation for simulation-based multiple-testing procedures

Heejung Bang, Sin Ho Jung, Stephen L. George

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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 languageEnglish (US)
Pages (from-to)957-967
Number of pages11
JournalJournal of Biopharmaceutical Statistics
Issue number6
StatePublished - 2005
Externally publishedYes


  • Bonferroni
  • Global test
  • Multiple endpoints
  • Multiple testing
  • Sample size
  • Simulation

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Pharmacology, Toxicology and Pharmaceutics(all)


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