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Multiple Comparisons

open access: yes, 2020
Multiple Comparisons.
Rui Fu (327741)   +4 more
openaire   +2 more sources

Why We (Usually) Don't Have to Worry About Multiple Comparisons [PDF]

open access: yesJournal of Research on Educational Effectiveness, 2012
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
exaly   +2 more sources

The Problem of Multiple Comparisons

NEJM Evidence, 2022
The 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
openaire   +2 more sources

Multiple comparisons

Current Anaesthesia and Critical Care, 2006
M Columb
exaly   +2 more sources

Multiple Comparisons of Biodiversity

Biometrical Journal, 2001
Summary: 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.
openaire   +2 more sources

Multiple Comparison Procedures

JAMA, 2014
Problems 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
openaire   +2 more sources

Multiple Comparison Procedures.

Biometrics, 1988
16. 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
openaire   +1 more source

MULTIPLE COMPARISONS

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 ...
  +5 more sources

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