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Updated: May 31, 2026

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
Published on: June 16, 2020
Correction for multiple testing: is there a resolution?
David L Streiner1, Geoffrey R Norman2
1Department of Psychiatry and Behavioural Neurosciences, Hamilton, ON, Canada; Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
Abstract:
In most studies, many statistical tests are performed. They can be run to compare the groups at baseline, look at relationships among the various measures, and, for intervention trials, examine more than one end point. As the number of tests increases, so does the probability of finding at least one of them to be statistically significant just by chance (the problem of multiplicity). A number of procedures have been developed to deal with multiplicity, such as the Bonferroni correction, but there is continuing controversy regarding if and when these procedures should be used. In this article, we offer recommendations about when they should and should not be brought into play.
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