权重定量总和 (WQS) 混合效应模型
Chris Gennings1, Vishal Midya1, Stefano Renzetti2
1Icahn School of Medicine at Mount Sinai, NY, NY, USA.
MethodsX
|September 24, 2025
概括
环境混合物对健康的影响可能是复杂的. 这项研究引入了一种新的加权量子总和 (WQS) 混合效应模型,用于分析相关暴露的多种健康结果,改进现有方法.
科学领域:
- 环境健康 环境健康
- 生物统计学 生物统计学
- 毒理学 毒理学 毒理学
背景情况:
- 环境暴露往往以与相关模式的复杂混合物形式发生.
- 个人暴露可能低于值,但它们的联合行动可能会导致严重的健康影响 (混合效应).
- 现有的权重定量总和 (WQS) 回归方法假定独立,不适应多个主体内结果,限制了它们的应用.
研究的目的:
- 扩展WQS回归以处理多个个体内结果变量或重复测量,考虑体内相关性.
- 开发一种统计学上有效的推理方法,用于分析具有相关结果的混合效应.
- 解决在分析复杂的环境暴露及其对健康结果的影响方面的研究缺口.
主要方法:
- 开发了一种新的WQS混合效应模型.
- 数据被随机分割,重量通过在训练组中重新抽样来估计.
- 推断是使用重复持久验证集和混合效应模型进行的,以管理主体内相关性.
主要成果:
- WQS混合效应模型成功地适应了受试者内部的多个相关的结果变量.
- 该方法允许统计学上有效的推断,将加权环境暴露指数与健康结果联系起来.
- 该模型被应用于对跑步者的环境因素和功能进行试点研究.
结论:
- 开发的WQS混合效应模型为在存在多个或重复的结果测量时分析环境混合效应提供了强大的方法.
- 这种扩展增强了WQS回归对于复杂的暴露-健康结果关系的能力.
- 试点研究证明了该模型在调查对功能环境影响方面的实用性,并有可能进行特定性别的分析.
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