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Cited by 121Meta-analysis and systematic reviewsStatistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

A Note on Misconceptions Concerning Prospective and Retrospective Power

Zumbo, Bruno D., Hubley, Anita M.·1998·Journal of the Royal Statistical Society: Series D (The Statistician)
DOI 10.1111/1467-9884.00139
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Abstract

This paper addresses some misconceptions concerning prospective and retrospective power when journal editors, reviewers and readers want to know the observed power of statistical tests within a completed study. In addition, a practical solution to both the problem of computing the power after a study has been conducted and the critical evaluation of null findings is suggested

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Crossref · 10.1111/1467-9884.00139

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Metadata

Authors
Zumbo, B. D., & Hubley, A. M.
Affiliations
University of Northern British Columbia (CA)
ORCID
Venue
Journal of the Royal Statistical Society: Series D (The Statistician)
Publisher
Wiley
Published
1998-07
Volume
47
Issue
2
Pages
385-388
ISSN
  • 0039-0526 (ISSN-L)
  • 1467-9884
DOI
10.1111/1467-9884.00139
OpenAlex
W2011427590
Cited by
121
References
4
Citations by year
2026: 2 · 2025: 3 · 2024: 3 · 2023: 1 · 2022: 8 · 2021: 1 · 2020: 4 · 2019: 4 · 2018: 6 · 2017: 3 · 2016: 2 · 2015: 4 · 2014: 2 · 2013: 8 · 2012: 4
FWCI
7.80
Type
journal article
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm, 6271 d)
Locations
Journal of the Royal Statistical Society Series D (The Statistician) (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
statistical power, negative results, null hypothesis significance testing, statistical misconceptions

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