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
What Does Correcting for Multiple. Testing Mean? • When people say “adjusting p-values for the number of hypothesis tests performed” what they mean is.
lecture
The middle panel displays the same point estimates as in the left panel but with confidence intervals adjusted to account for a Bonferroni correction. The right
multiple f
The theoretical basis for advocating a routine adjustment for multiple comparisons is the "universal null hypothesis" that.
Methods for dealing with multiple testing frequently call for adjusting α in some way so that the probability of observing at least one significant result
Section
Multiple testing corrections adjust p-values derived from multiple statistical tests to correct for occurrence of false positives. In microarray data analysis
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The Office of Evaluation Sciences' standard approach to adjusting for multiple comparisons is to control the familywise error rate (FWER)
multiple comparison adjustment
Rothman (Epidemiology 1990;1:43-46) recommends against adjustments for multiple comparisons. Implicit in his recommendation.
Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with multiple primary outcomes.