testing in order to take into account multiple testing and multiple comparisons. This alpha adjustment has become particularly relevant in the context of
When it comes to exploratory studies or post-hoc analysis of existing data though
The theoretical basis for advocating a routine adjustment for multiple comparisons is the "universal null hypothesis" that.
The Office of Evaluation Sciences' standard approach to adjusting for multiple comparisons is to control the familywise error rate (FWER)
multiple comparison adjustment
Abstract: Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments.
multiple f
Pruning is a common technique to avoid over-fitting in decision trees. Most pruning techniques do not ac- count for one important factor - multiple compar-.
KDD
Rothman (Epidemiology 1990;1:43-46) recommends against adjustments for multiple comparisons. Implicit in his recommendation.
lated and pairwise families of comparisons the B-H technique is shown to have reviews the range of multiple comparison adjustments that have been ...
Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes.
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Therefore there are two ways for adjusting the statistical inference of multiple comparisons. First
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