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Why We (Usually) Don't Have to Worry About Multiple Comparisons [PDF]
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal Of Research On Educational Effectiveness on 04/03/2012, available online: https://doi.org/10.1080/19345747.2011.618213Applied researchers often find themselves ...
Andrew Gelman, Jennifer Hill
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The Problem of Multiple Comparisons
NEJM Evidence, 2022The Problem of Multiple Comparisons This animated video reviews the problem of multiple comparisons in research studies and explains how performing multiple statistical hypothesis tests can produce associations simply by chance.
Katherine S, Takvorian +5 more
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Multiple Comparisons of Biodiversity
Biometrical Journal, 2001Summary: A common goal in statistical ecology is to compare several communities and/or time points with respect to taxonomic diversity (usually species diversity). For this purpose, the current literature recommends the application of traditional ANOVA techniques to ``replicates'' of diversity indices.
Rogers, James A., Hsu, Jason C.
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Multiple Comparison Procedures
JAMA, 2014Problems can arise when researchers try to assess the statistical significance ofmore than 1 test in a study. In a single test, statistical significance isoftendeterminedbasedonanobservedeffector finding that is unlikely (
Jing, Cao, Song, Zhang
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Multiple Comparison Procedures.
Biometrics, 198816. Multiple Comparison Procedures. By Y. Hochberg and A. C. Tamhane. ISBN 0 471 82222 1. Wiley, New York, 1987. 450 pp. £38.95.
Joe N. Perry, Y. Hochberg, A. C. Tamhane
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2003
Abstract There is, however, a technical issue that needs to be taken into account. Suppose there are no differences among the groups, in which case none of the six null hypotheses just listed should be rejected. To keep things simple for the moment, assume all four groups have normal distributions with equal variances, in which case ...
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Abstract There is, however, a technical issue that needs to be taken into account. Suppose there are no differences among the groups, in which case none of the six null hypotheses just listed should be rejected. To keep things simple for the moment, assume all four groups have normal distributions with equal variances, in which case ...
+5 more sources

