Inflated effect sizes and underpowered tests: how the severity measure of evidence is affected by the winner’s curse
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
The results of the secondary outcomes should be interpreted cautiously due to the small sample size, which can lead to inflated effect sizes.
“The results of the secondary outcomes should be interpreted cautiously due to the small sample size, which can lead to inflated effect sizes.”
Cites
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · cited 7× · see citing works
“See (Button et al. 2013; Ioannidis 2008; Gelman and Carlin 2014) for examples.”
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Hahne, I., Zierhut, M., Bergmann, N., Hahn, E., Ta, T. M. T., Calvano, C., Bajbouj, M., & Böge, K. (2026) · Schizophrenia Bulletin · doi:10.1093/schbul/sbae198 · Cited by 4 · see citing works
- Authors
- Rochefort-Maranda, G.
- Affiliations
- Université Laval (CA)
- Corresponding author
- Rochefort-Maranda, Guillaume
- Venue
- Philosophical Studies
- Published
- 2020-01-29
- Volume
- 178
- Issue
- 1
- Pages
- 133-145
- ISSN
- 0031-8116 (ISSN-L)
- 1573-0883
- OpenAlex
- W2780895789
- Cited by
- 18
- References
- 1
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 5 · 2023: 5 · 2022: 2 · 2021: 2 · 2019: 1
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Philosophical Studies (publishedVersion)
- PhilSci-Archive (University of Pittsburgh) (acceptedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy, Science, and History
- Keywords
- winner's curse, severity scoring, statistical evidence, sample size, replication, null hypothesis testing, epistemology of statistics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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