Sample size for testing difference between two proportions for the bilateral-sample design.
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.
Qiu
Shi-Fang
SF
Department of Statistics, Yunnan University, Kunming, People's Republic of China.
Tang
Nian-Sheng
NS
Tang
Man-Lai
ML
Pei
Yan-Bo
YB
D000900:Anti-Bacterial Agents / Q000627:therapeutic use; D002648:Child; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D015233:Models, Statistical; D010034:Otitis Media with Effusion / Q000188:drug therapy; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D018401:Sample Size; D016896:Treatment Outcome
D000900:Anti-Bacterial Agents