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In statistics, the Šidák correction, or Dunn–Šidák correction, is a method used to counteract the problem of multiple comparisons.
Describes how to conduct Bonferroni and Dunn-Sidàk tests to deal with familywise error when performing multiple statistical tests.
The Bonferroni and Šídák methods can determine statistical significance, compute adjusted P value, and also compute confidence intervals.
2012/1/9 -I want to run multiple comparisons but I'm not sure if I should use a Sidak or Bonferroni correction test. What is the difference between the two tests?
It includes options to control the familywise error rate by using Dunn's proposed Bonferroni adjustment, the Šidák adjustment, the Holm stepwise adjust- ment, ...
The calculations use a pooled SD. The first step for the Bonferroni and Sidak tests used as a followup to ANOVA is to compute the Fisher LSD test.
2020/2/10 -These two articles recommend Dunn's test as non-parametric post hoc multiple comparison test following Kruskal-Wallis test.
The more tests we perform on a set of data, the more likely we are to reject the null hypothesis when it is true (i.e., a “Type I” error).
Dunn's test is the not parametric analog of Holm-Sidak multiple t-test. When you use the Kruskal-Wallis test, you know if there is a difference among your ...
Description Computes Dunn's test (1964) for stochastic dominance and reports the re- sults among multiple pairwise comparisons after a Kruskal-Wallis test for ...