Sample size for testing difference between two proportions for the bilateral-sample design

Shi Fang Qiu, Nian Sheng Tang, Man Lai TANG*, Yan Bo Pei

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In this article, we consider approximate sample size formulas for testing difference between two proportions for bilateral studies with binary outcomes. Sample size formulas are derived to achieve a prespecified power of a statistical test at a prechosen significance level. Four statistical tests are considered. Simulation studies are conducted to investigate the accuracy of various formulas. In general, the sample size formula for Rosner's statistic based on the dependence assumption is highly recommended in the sense that its actual power is satisfactorily close to the desired power level. An example from an otolaryngological study is used to demonstrate the proposed methodologies.

Original languageEnglish
Pages (from-to)857-871
Number of pages15
JournalJournal of Biopharmaceutical Statistics
Volume19
Issue number5
DOIs
Publication statusPublished - Sep 2009

Scopus Subject Areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

User-Defined Keywords

  • Bilateral-sample design
  • Comparative study
  • Correlated binary data
  • Sample sizes

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