More powerful procedures for multiple significance testing
Abstract
The problem of multiple comparisons is discussed in the context of medical research. The need for more powerful procedures than classical multiple comparison procedures is indicated. To this end some new, general and simple procedures are discussed and demonstrated by two examples from the medical literature: the neuropsychologic effects of unidentified childhood exposure to lead, and the sleep patterns of sober chronic alcoholics.
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Post hoc group comparison results for all outcome variables were adjusted for multiple comparisons using step-up Bonferroni adjustments.
“Post hoc group comparison results for all outcome variables were adjusted for multiple comparisons using step-up Bonferroni adjustments, also called Hochberg-adjusted p values [17].”
From Behavioral, cognitive, and adaptive development in infants with autism spectrum disorder in the first 2 years of life (2015) · cites this paper as [17]
The significance level for primary outcome measures was adjusted on the basis of the Hochberg procedure.
“The significance level for primary outcome measures was adjusted on the basis of the Hochberg procedure [56].”
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- Authors
- Hochberg, Y., & Benjamini, Y.
- Affiliations
- Tel Aviv University (IL)
- ORCID
- Benjamini, Yoav
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1990-07
- Volume
- 9
- Issue
- 7
- Pages
- 811-818
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2123830992
- Cited by
- 2,715
- References
- 11
- Citations by year
- 2026: 68 · 2025: 84 · 2024: 145 · 2023: 144 · 2022: 155 · 2021: 166 · 2020: 178 · 2019: 169 · 2018: 150 · 2017: 163 · 2016: 136 · 2015: 141 · 2014: 138 · 2013: 115 · 2012: 102
- FWCI
- 10.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Statistics in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Keywords
- multiple comparisons, statistical power, family-wise error rate, medical research, childhood lead exposure, neuropsychological outcomes, chronic alcoholism, sleep patterns
- MeSH terms
- Alcoholism, Child, Environmental Exposure, Humans, Lead, Reaction Time, Research Design, Sleep, Statistics as Topic, Verbal Learning
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