A note on power and sample size calculations for the Kruskal-Wallis test for ordered categorical data.
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.
Department of Biostatistics and Programming, Sanofi US, Bridgewater, New Jersey 08807-0890, USA. Chunpeng.Fan@sanofi.com
Chunpeng
C
Fan
Donghui
D
Zhang
D000704:Analysis of Variance; D000818:Animals; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004305:Dose-Response Relationship, Drug; D064420:Drug-Related Side Effects and Adverse Reactions; D004681:Encephalomyelitis, Autoimmune, Experimental / Q000139:chemically induced; D051379:Mice; D015233:Models, Statistical; D009010:Monte Carlo Method; D004364:Pharmaceutical Preparations / Q000008:administration & dosage; D018401:Sample Size; D018709:Statistics, Nonparametric
D004364:Pharmaceutical Preparations