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A note on power and sample size calculations for the kruskal-wallis test for ordered categorical data

机译:关于有序分类数据的kruskal-wallis检验的功效和样本大小计算的注释

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摘要

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.
机译:尽管Kruskal-Wallis检验已被广泛用于分析有序的分类数据,但是当基础多项式分布未知时,对该检验的功效和样本大小方法的研究程度要小得多。本文概括了Fan等人提出的功效和样本数量程序。 (2011年)的连续数据到有序的分类数据,当使用试点研究的估计值代替真正的基础分布的知识时。仿真表明,提出的功效和样本数量公式表现良好。髓磷脂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)小鼠研究被用来证明该方法的应用。

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