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关于有序分类数据的Kruskal-Wallis检验的功效和样本量计算的说明。

A note on power and sample size calculations for the Kruskal-Wallis test for ordered categorical data.

作者信息

Fan Chunpeng, Zhang Donghui

机构信息

Department of Biostatistics and Programming, Sanofi US, Bridgewater, New Jersey 08807-0890, USA.

出版信息

J Biopharm Stat. 2012;22(6):1162-73. doi: 10.1080/10543406.2011.578313.

Abstract

Although the Kruskal-Wallis test has been widely used to analyze ordered categorical data, power and sample size methods for this test have been investigated to a much lesser extent when the underlying multinomial distributions are unknown. This article generalizes the power and sample size procedures proposed by Fan et al. ( 2011 ) for continuous data to ordered categorical data, when estimates from a pilot study are used in the place of knowledge of the true underlying distribution. Simulations show that the proposed power and sample size formulas perform well. A myelin oligodendrocyte glycoprotein (MOG) induced experimental autoimmunce encephalomyelitis (EAE) mouse study is used to demonstrate the application of the methods.

摘要

尽管Kruskal-Wallis检验已被广泛用于分析有序分类数据,但当潜在的多项分布未知时,针对该检验的功效和样本量方法的研究程度要小得多。本文将Fan等人(2011年)针对连续数据提出的功效和样本量程序推广到有序分类数据,此时使用试点研究的估计值来代替对真实潜在分布的了解。模拟结果表明,所提出的功效和样本量公式表现良好。一项髓鞘少突胶质细胞糖蛋白(MOG)诱导的实验性自身免疫性脑脊髓炎(EAE)小鼠研究被用于证明这些方法的应用。

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