A SAS® macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis
A SAS® macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis
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DOI：
10.1016/j.cmpb.2010.11.002
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发表时间：
2011-04-01
影响因子：
6.1
通讯作者：
Hynan, Linda S.
中科院分区：
文献类型：
--
作者：
Elliott, Alan C.;Hynan, Linda S.
当数据来自疑似非正态人群时，通常使用Kruskal-Wallis（KW）非参数方差分析代替标准单因素方差分析。KW综合程序检验了组间的一些差异，但未提供特定的事后成对比较。本文提供了一个基于SAS NPAR 1 WAY程序的显著Kruskal-Wallis结果的多重比较检验的SAS（R）宏实现。该实现最多可用于20个用户指定alpha显著性水平的组。一个蒙特-卡罗模拟比较这种非参数程序常用的参数多重比较检验。(C)2010爱思唯尔爱尔兰有限公司版权所有。
The Kruskal-Wallis (KW) nonparametric analysis of variance is often used instead of a standard one-way ANOVA when data are from a suspected non-normal population. The KW omnibus procedure tests for some differences between groups, but provides no specific post hoc pair wise comparisons. This paper provides a SAS (R) macro implementation of a multiple comparison test based on significant Kruskal-Wallis results from the SAS NPAR1WAY procedure. The implementation is designed for up to 20 groups at a user-specified alpha significance level. A Monte-Carlo simulation compared this nonparametric procedure to commonly used parametric multiple comparison tests. (C) 2010 Elsevier Ireland Ltd. All rights reserved.