环境与职业医学2024，Vol.41Issue(2)：219-225,7.DOI:10.11836/JEOM23325
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
摘要
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分类
医药卫生引用本文复制引用
石慧,郑古峥玥,赵星,黄守瑞,艾宝卓,吴佳隆,林华亮..工具变量法在环境流行病学因果推断中的应用与进展[J].环境与职业医学,2024,41(2):219-225,7.基金项目
国家重点研发计划项目(2022YFC2305305) （2022YFC2305305）
广东省自然科学基金面上项目(2022A1515010420) This study was funded. （2022A1515010420）
