Nonparametric pairwise multiple comparisons in independent groups using Dunn's test

被引：436

作者：

Dinno, Alexis ^{[1
]}

机构：

[1] Portland State Univ, Sch Community Hlth, Portland, OR 97207 USA

来源：

STATA JOURNAL | 2015年 / 15卷 / 01期

关键词：

st0381; dunntest; kwallis; Dunn's test; Kruskal-Wallis test; multiple comparisons; familywise error rate; Bonferroni; Sidak; Holm; Holm-Sidak; false discovery rate;

D O I：

10.1177/1536867X1501500117

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

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 command. 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 Sidak adjustment, the Holm stepwise adjustment, or the Holm-Sidak stepwise adjustment. There is also an option to control the false discovery rate using the Benjamini-Hochberg stepwise adjustment.

引用

页码：292 / 300

页数：9

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