Beyond the <i>p</i> Value Dichotomy: Alternatives for Statistical Inference—A Critical Review

Overcoming the binary logic of p < 0.05 is essential to enhance transparency, reduce bias, and better align statistical practice with the scientific and clinical relevance of research findings, particularly in the health and sports sciences.

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Publication Details

Journal
Journal of Evaluation in Clinical Practice
Published
2026-02-01
DOI
https://doi.org/10.1111/jep.70373
Primary Topic
Meta-analysis and systematic reviews
Type
article
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article

Beyond the p Value Dichotomy: Alternatives for Statistical Inference—A Critical Review

Lucas Caseri Câmara, Matheus Hissa Lourenço Ferreira, Nelson Carvas Junior
Journal of Evaluation in Clinical Practice
Meta-analysis and systematic reviews
article

Beyond the p Value Dichotomy: Alternatives for Statistical Inference—A Critical Review

Lucas Caseri Câmara, Matheus Hissa Lourenço Ferreira, Nelson Carvas Junior
article en

Abstract

Overcoming the binary logic of p < 0.05 is essential to enhance transparency, reduce bias, and better align statistical practice with the scientific and clinical relevance of research findings, particularly in the health and sports sciences.

Journal of Evaluation in Clinical PracticeVol. 32(1)
Universidade Federal de Minas Gerais (BR), Universidade Paulista (BR), Governo do Estado de São Paulo (BR), Universidade Federal de São Paulo (BR)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Meta-analysis and systematic reviews
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Beyond the <i>p</i> Value Dichotomy: Alternatives for Statistical Inference—A Critical Review — Lucas Caseri Câmara, Matheus Hissa Lourenço Ferreira, et al. · Journal of Evaluation in Clinical Practice (2026) | TGRS Research Map | TGRS