Cited by 1,026Statistical Methods in Clinical TrialsProbability and Statistical ResearchStatistical Methods and Applications

Adjusted P-Values for Simultaneous Inference

Wright, S. Paul·1992·Biometrics

Abstract

This paper proposes that results from simultaneous tests be reported as adjusted P-values such that, if the adjusted P-value for an individual hypothesis is less than the chosen significance level of a, then the hypothesis is rejected with an experimentwise error rate of no more than ax. Examples are given of adjusted P-values for multiple comparisons in the analysis of variance and of adjusted P-values based on the Bonferroni procedure and modifications of that procedure by Holm (1979, Scandinavian Journal of Statistics 6, 65-70), Hochberg (1988, Biometrika 75, 800-802), and Hommel (1988, Biometrika 75, 383-386). The modified Bonferroni-based procedures are much more powerful than the original Bonferroni procedure, and they deserve wider use. In addition to the above, a procedure is outlined for obtaining adjusted P-values for any closed test procedure.

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References 19 · Cited by 1,026

Authors
Wright, S. P.
Corresponding author
Wright, S. Paul
Venue
Biometrics
Publisher
JSTOR
Published
1992-12
Volume
48
Issue
4
Pages
1005
ISSN
0006-341X (ISSN-L)
OpenAlex
W2317320087
Cited by
1,026
References
19
Citations by year
2026: 27 · 2025: 18 · 2024: 40 · 2023: 38 · 2022: 39 · 2021: 49 · 2020: 40 · 2019: 35 · 2018: 41 · 2017: 52 · 2016: 52 · 2015: 53 · 2014: 40 · 2013: 42 · 2012: 33
FWCI
9.02
Type
journal article
Language
en
Open access
closed
Locations
Biometrics (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
adjusted p-values, simultaneous inference, family-wise error rate, multiple comparisons, Bonferroni procedure, Holm procedure, Hochberg procedure, analysis of variance, hypothesis testing

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