工具变量法在环境流行病学因果推断中的应用与进展
Applications and advancements of instrumental variable approach in causal inference in envi-ronmental epidemiology
石慧 1郑古峥玥 1赵星 2黄守瑞 2艾宝卓 1吴佳隆 2林华亮1
作者信息
- 1. 中山大学公共卫生学院流行病学系,广东 广州,510080
- 2. 四川大学华西公共卫生学院,四川 成都,610041
- 折叠
摘要
环境流行病学研究中环境暴露广泛而非随机、混杂偏倚较为复杂,对其因果推断带来了巨大的挑战.近年来,随着因果推断方法引入观察性研究中,其为环境流行病学因果推断研究提供了更多统计方法的选择.工具变量法(Ⅳ)作为一种能够很好控制未测量混杂因素的因果推断方法,逐渐应用在环境流行病学研究领域中.本研究介绍了Ⅳ的基本原理,归纳了目前应用Ⅳ进行环境流行病学因果推断的研究进展与局限性.当前环境流行病领域应用Ⅳ方法进行因果推断研究尚处于初级阶段,合理使用Ⅳ并与其他因果推断方法的有效整合将成为环境流行病学因果推断的发展重点.本研究旨在为我国环境暴露的人群健康效应的因果推断研究提供方法学上的参考和依据.
Abstract
In environmental epidemiological research,extensive non-random environmental exposures and complex confounding biases pose significant challenges when attempting causal inference.In recent years,the introduction of causal inference methods into observational studies has pro-vided a broader range of statistical tools for causal inference research in environmental epidemi-ology.The instrumental variable(Ⅳ)approach,as a causal inference technique for effectively controlling unmeasured confounding factors,has gradually found application in the field of envi-ronmental epidemiological research.This article reviewed the basic principles of Ⅳ and summa-rized the current research progress and limitations of applying Ⅳ for causal inference in environ-mental epidemiology.Ⅳ application in the field of environmental epidemiology is still in the initial stage.Rational use of Ⅳ and effective integration with other causal inference methods will become the focus of the development of causal inference in environmental epidemiology.The aim of this paper is to provide a methodological reference and basis for future studies involving causal in-ference to target population health effects of environmental exposures in China.
关键词
工具变量法/因果推断/环境流行病学/环境暴露/健康效应/应用Key words
instrumental variable approach/causal inference/environmental epidemiology/envi-ronmental exposure/health effect/application引用本文复制引用
基金项目
国家重点研发计划项目(2022YFC2305305)
广东省自然科学基金面上项目(2022A1515010420)
出版年
2024
国家科技期刊平台
NSTL
万方数据