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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wolters Kluwer Medknow Publications
2016-01-01
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Series: | Perspectives in Clinical Research |
Subjects: | |
Online Access: | http://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=2;spage=106;epage=107;aulast=Ranganathan |