邦费罗尼校正
成对比较
非参数统计
多重比较问题
错误发现率
统计
数学
考试(生物学)
生物
生物化学
古生物学
基因
出处
期刊:Stata Journal
[SAGE Publishing]
日期:2015-04-01
卷期号:15 (1): 292-300
被引量:1065
标识
DOI:10.1177/1536867x1501500117
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 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI