A SAS® macro implementation of a multiple comparison post hoc test for a Kruskal-Wallis analysis

Authors:
Alan C. Elliott;Linda S. Hynan
Affiliations:
Department of Clinical Sciences, Division of Biostatistics, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-8822, United States;Department of Clinical Sciences, Division of Biostatistics, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390-8822, United States
Venue:
Computer Methods and Programs in Biomedicine
Year:
2011

Citing 3
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Privacy-preserving Kruskal-Wallis test

Computer Methods and Programs in Biomedicine

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Abstract

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.