Nonparametric pairwise multiple comparisons in independent groups using Dunn's test
Alexis Dinno
School of Community Health
Portland State University
Portland, OR
[email protected]
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Abstract. Dunn's test is the appropriate nonparametric pairwise
multiple-comparison procedure when a Kruskal–Wallis test is
rejected, and it is now implemented for Stata in the dunntest
package. dunntest produces multiple comparisons following a
Kruskal–Wallis k-way test by using Stata's built-in
kwallis command. It includes options to control the familywise
error rate by using Dunn's proposed Bonferroni adjustment, the
Šidák adjustment, the Holm stepwise adjustment, or the
Holm–Šidák stepwise adjustment. There is also an option
to control the false discovery rate using the Benjamini–Hochberg
stepwise adjustment.
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Alexis Dinno
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dunntest, kwallis, Dunn's test, Kruskal–Wallis test, multiple comparisons, familywise error rate, Bonferroni, Sidák, Holm, Holm–Sidák, false discovery rate
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