Cited by 316Statistical Methods and Bayesian InferenceStatistical Methods in Clinical TrialsProbability and Statistical Research

A Bayesian perspective on the bonferroni adjustment

Westfall, P.·1997·Biometrika

Abstract

Bayes/frequentist correspondences between the p-value and the posterior probability of the null hypothesis have been studied in univariate hypothesis testing situations. This paper extends these comparisons to multiple testing and in particular to the Bonferroni multiple testing method, in which p-values are adjusted by multiplying by k, the number of tests considered. In the Bayesian setting, prior assessments may need to be adjusted to account for multiple hypotheses, resulting in corresponding adjustments to the posterior probabilities. Conditions are given for which the adjusted posterior probabilities roughly correspond to Bonferroni adjusted p-values.

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Crossref · 10.1093/biomet/84.2.419

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21 of 21 references verified0 citation errors · 0 not checkable

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  • Bayes Factors were computed using a Bayesian ANOVA based on extracted activation from significant clusters in the pooled sample for each parameter and corrected for multiple comparisons.

    “Furthermore, we computed Bayes Factors using a Bayesian ANOVA based on the extracted activation from the significant clusters in the pooled sample for each of the parameters and corrected for multiple comparisons following Westfall et al. (1997) as described in de Jong (2019).”

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Authors
Westfall, P.
Affiliations
Texas Tech University (US)
Corresponding author
Westfall, P.
Venue
Biometrika
Published
1997-06-01
Volume
84
Issue
2
Pages
419-427
ISSN
  • 0006-3444 (ISSN-L)
  • 1464-3510
OpenAlex
W2078409704
Cited by
316
References
21
Citations by year
2026: 14 · 2025: 31 · 2024: 26 · 2023: 27 · 2022: 31 · 2021: 36 · 2020: 24 · 2019: 17 · 2018: 6 · 2017: 3 · 2016: 4 · 2015: 7 · 2014: 7 · 2013: 1 · 2012: 24
FWCI
1.47
Type
journal article
Language
en
Open access
closed
Locations
Biometrika (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords
Bonferroni correction, multiple comparisons, p-values, prior specification, false discovery rate

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