从显著到有意义:对性别差异和相似性的研究进行原子化
Carla Sanchis-Segura1, Cristina Forn1, Rand R Wilcox2
1Departament de Psicologia bàsica, clinica i psicobiologia, Universitat Jaume I, Castelló, Spain.
Frontiers in neuroendocrinology
|December 10, 2025
概括
仅仅是统计学意义不足以定义性别差异. 需要新方法优先考虑信息化,上下文依赖的标准,以更好地了解个体变异和推进精准医学.
科学领域:
- 生物统计学 生物统计学
- 性差异研究 研究 研究 研究
- 精准医学是一门精准的医学.
背景情况:
- 当前的研究往往仅仅通过群体平均值的统计学显著差距来定义性别差异.
- 这种启发式是有缺陷的,产生了对个性化医疗保健或理解个体变异无用的发现.
- 在性别差异研究中,需要更多的信息和上下文依赖的标准.
研究的目的:
- 倡导定义和分析性别差异的范式转变.
- 建议我们远离过度概括的抽象,转向有意义的个体变化.
- 引入一种新的统计方法,以更细致地理解与性别相关的变化.
主要方法:
- 批评目前用于定义性别差异的统计启发式.
- 应用美国统计协会的ATOM原则 (接受不确定性,要深思熟虑,要开放,要谦虚).
- 介绍和说明值优势概率 (TPS) 方法.
主要成果:
- 传统的仅仅依靠统计学意义的依赖对于定义性别差异是不够的.
- 提出的方法强调了取决于背景的标准和个人差异,而不是群体平均值.
- 优越的门概率 (TPS) 方法提供了更细致和可操作的了解与性别相关的变化.
结论:
- 性别差异应该通过取决于背景的信息标准来定义,而不仅仅是统计学意义.
- 转向分析有意义的个体变异对于推进个性化医疗保健至关重要.
- 超越值概率 (TPS) 方法为精准医学提供了更相关的框架,并理解了与性别相关的变化.
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