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A note on power and sample size calculations for the Kruskal-Wallis test for ordered categorical data
1Department of Biostatistics and Programming, Sanofi US, Bridgewater, New Jersey 08807-0890, USA. Chunpeng.Fan@sanofi.com
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.
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