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

Shi Fang Qiu, Nian Sheng Tang, Man Lai Tang, Yanbo Pei

Research output: Contribution to journalArticle

3 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 (US)
Pages (from-to)857-871
Number of pages15
JournalJournal of Biopharmaceutical Statistics
Volume19
Issue number5
DOIs
StatePublished - Sep 1 2009

Fingerprint

Sample Size
Proportion
Testing
Statistical test
Binary Outcomes
Significance level
Statistic
Simulation Study
Design
Methodology
Demonstrate

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

Cite this

Qiu, Shi Fang ; Tang, Nian Sheng ; Tang, Man Lai ; Pei, Yanbo. / Sample size for testing difference between two proportions for the bilateral-sample design. In: Journal of Biopharmaceutical Statistics. 2009 ; Vol. 19, No. 5. pp. 857-871.
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Sample size for testing difference between two proportions for the bilateral-sample design. / Qiu, Shi Fang; Tang, Nian Sheng; Tang, Man Lai; Pei, Yanbo.

In: Journal of Biopharmaceutical Statistics, Vol. 19, No. 5, 01.09.2009, p. 857-871.

Research output: Contribution to journalArticle

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