超越p值二分法:统计推理的替代方案 - - 一个批判性审查
Matheus Hissa Lourenço Ferreira1, Lucas Caseri Câmara2, Nelson Carvas Junior3,4
1Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.
Journal of evaluation in clinical practice
|February 4, 2026
概括
这就是p值的p值.
科学领域:
- 在健康和体育科学中的统计推断.
- 科学研究的方法学进步.
背景情况:
- p值是统计学意义的传统指标.
- 它的二分解读被批评过于简化不确定性和扭曲科学推断.
研究的目的:
- 批判性地分析p值的局限性作为唯一的显著性标准.
- 讨论统计推理的强有力的方法替代方案.
主要方法:
- 在PubMed/MEDLINE上进行的批判文献综述 (2015-2025年).
- 包括关于p值解释的评论,社论,指南和论文.
- 使用批判性评估检查清单评估了46篇文章.
主要成果:
- 82.6%的研究批评了孤立/二分离的p值使用.
- 没有文章支持p值作为独立决策标准.
- 建议包括放弃"统计学上显著",优先考虑效果大小,并使用贝叶斯方法.
结论:
- 超越二进制p < 0.05逻辑至关重要.
- 提高透明度,减少偏见,使统计数据与科学相关性保持一致.
- 对于健康和体育科学研究至关重要.
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