Common pitfalls in statistical analysis: The perils of multiple testing

Multiple testing refers to situations where a dataset is subjected to statistical testing multiple times - either at multiple time-points or through multiple subgroups or for multiple end-points. This amplifies the probability of a false-positive finding. In this article, we look at the consequences...

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Bibliographic Details
Main Authors: Priya Ranganathan, C S Pramesh, Marc Buyse
Format: Article
Published: Wolters Kluwer Medknow Publications 2016-01-01
Series:Perspectives in Clinical Research
Online Access:;year=2016;volume=7;issue=2;spage=106;epage=107;aulast=Ranganathan