Statistically significant results from low-power analyses: A comedy of errors

Low-power statistically significant results may consist entirely of magnitude errors, sign errors, and type 1 errors with high risk of strong overestimation (double effect). Readers should beware positive results from low-power analyses.

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Publication Details

Journal
Global Epidemiology
Published
2026-01-16
DOI
https://doi.org/10.1016/j.gloepi.2026.100250
Primary Topic
Advanced Electrical Measurement Techniques
Type
article
Field-Weighted Citation Impact
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article

Statistically significant results from low-power analyses: A comedy of errors

Cyril Jaksic, PhDThomas Perneger, Christophe Combescure
Global Epidemiology
Advanced Electrical Measurement Techniques
article

Statistically significant results from low-power analyses: A comedy of errors

Cyril Jaksic, PhDThomas Perneger, Christophe Combescure
article en

Abstract

Low-power statistically significant results may consist entirely of magnitude errors, sign errors, and type 1 errors with high risk of strong overestimation (double effect). Readers should beware positive results from low-power analyses.

Global EpidemiologyVol. 11
University Hospital of Geneva (CH)
Openalex Percentile: Top 87%
Advanced Electrical Measurement Techniques
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Statistically significant results from low-power analyses: A comedy of errors — Cyril Jaksic, PhDThomas Perneger, et al. · Global Epidemiology (2026) | TGRS Research Map | TGRS