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Cited by 2,396Statistical Methods in Clinical TrialsProbability and Statistical ResearchStatistical Methods and Applications

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

An improved Bonferroni procedure for multiple tests of significance

SIMES, R. J.·1986·Biometrika
DOI 10.1093/biomet/73.3.751
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Abstract

A modification of the Bonferroni procedure for testing multiple hypotheses is presented. The method, based on the ordered p-values of the individual tests, is less conservative than the classical Bonferroni procedure but is still simple to apply. A simulation study shows that the probability of a type I error of the procedure does not exceed the nominal significance level, α, for a variety of multivariate normal and multivariate gamma test statistics. For independent tests the procedure has type I error probability equal to α. The method appears particularly advantageous over the classical Bonferroni procedure when several highly-correlated test statistics are involved.

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Crossref · 10.1093/biomet/73.3.751

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Metadata

Authors
SIMES, R. J.
Affiliations
The University of Sydney (AU)
Corresponding author
SIMES, R. J.
ORCID
SIMES, R. J.
Venue
Biometrika
Publisher
Oxford University Press (OUP)
Published
1986
Volume
73
Issue
3
Pages
751-754
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
DOI
10.1093/biomet/73.3.751
OpenAlex
W2099107563
Cited by
2,396
References
5
Citations by year
2026: 61 · 2025: 77 · 2024: 92 · 2023: 89 · 2022: 97 · 2021: 93 · 2020: 129 · 2019: 143 · 2018: 98 · 2017: 100 · 2016: 110 · 2015: 98 · 2014: 119 · 2013: 97 · 2012: 89
FWCI
10.84
Type
journal article
Language
en
Open access
closed
Locations
Biometrika (publishedVersion)
Funders
  • Medical Research Council
  • National Cancer Institute
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
Bonferroni procedure, multiple comparisons, type I error probability

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