A SAS(®) Macro Implementation of a Multiple Comparison Post Hoc Test for a Kruskal-Wallis Analysis

Overview

Journal Comput Methods Programs Biomed

Specialty Medical Informatics

Date 2010 Dec 15

PMID 21146248

Citations 85

Authors

Alan C Elliott

Linda S Hynan

Affiliations

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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(®) 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.

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