Qiu Shi-Fang, Tang Nian-Sheng, Tang Man-Lai, Pei Yan-Bo
Department of Statistics, Yunnan University, Kunming, People's Republic of China.
J Biopharm Stat. 2009 Sep;19(5):857-71. doi: 10.1080/10543400903105372.
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.
在本文中,我们考虑用于双侧研究中检验两个比例差异的近似样本量公式,这些研究具有二元结果。推导样本量公式是为了在预先选定的显著性水平下达到统计检验的预定功效。我们考虑了四种统计检验。进行了模拟研究以调查各种公式的准确性。一般来说,基于相关性假设的罗斯纳统计量的样本量公式非常值得推荐,因为其实际功效令人满意地接近期望的功效水平。一个耳鼻喉科研究的例子被用来演示所提出的方法。
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