Wang Hansheng, Chen Bin, Chow Shein-Chung
Guanghua School of Management, Peking University, Beijing, PR China.
J Biopharm Stat. 2003 Nov;13(4):735-51. doi: 10.1081/BIP-120024206.
The problem of sample size determination based on three commonly used non-parametric rank based tests, namely, one-sample Wilcoxon's rank sum test, two-sample's Wilcoxon's rank sum test, and the rank-based test for independence is studied. Explicit formulas for variabilities of the test statistics under the alternative hypotheses are derived. Consequently, close forms of power functions of these test statistics are obtained for sample size determination utilizing the concept of higher order polynominal equations. Simulation studies were performed to evaluate the finite samples performance of the derived sample size formulas. The results indicates that the derived methods work well with moderate sample size.
研究了基于三种常用非参数秩检验(即单样本威尔科克森秩和检验、两样本威尔科克森秩和检验以及基于秩的独立性检验)的样本量确定问题。推导了备择假设下检验统计量变异性的显式公式。因此,利用高阶多项式方程的概念,得到了这些检验统计量功效函数的简洁形式,用于样本量确定。进行了模拟研究以评估所推导样本量公式的有限样本性能。结果表明,所推导的方法在中等样本量时效果良好。