断点回归在公共卫生领域的应用

doi:10.19982/j.issn.1000-6621.20230130

摘要/Abstract

摘要：

断点回归(regression discontinuity,RD)是一种基于断点两侧构成的反事实进行因果推断的统计方法。近年来,在公共卫生领域RD的应用逐渐增多,尤其是空气质量的影响因素及相关政策的干预效果,以及疫苗有效性等方面。新型冠状病毒感染疫情暴发以来,RD也越来越多地应用于探究疫情给公众健康和个人行为带来的影响。RD应用条件相对简单,能够降低混杂的影响,更真实地反映变量之间的因果关系。本文在介绍RD的思想和应用的基础上,对其在公共卫生领域的应用现状进行了阐述。

关键词: 回归分析, 模型,统计学, 公共卫生, 断点回归

Abstract:

Regression discontinuity (RD) is a kind of statistical method for making causal inferences based on counterfactuals composed of both sides of the cutoff. In recent years, the application of RD has gradually increased in public health, especially in the fields of factors influencing air quality and the effects of related policy interventions, as well as vaccine effectiveness. Since the outbreak of the COVID-19, RD has also been increasingly applied to investigate the impact of the epidemic on public health and individual behavior. The application conditions of RD are relatively simple, and RD can reduce the effect of confounding and reflect the causal relationship between variables more realistically. In this study, based on the introduction of the idea and application of RD, the current status of its application in public health is reviewed.

Key words: Regression analysis, Models, statistical, Public health, Regression discontinuity

中图分类号:

R181.2

于胜男, 高琦, 郑良, 石圆, 陈奕瑾, 李秀君. 断点回归在公共卫生领域的应用[J]. 中国防痨杂志, 2023, 45(7): 644-650. doi: 10.19982/j.issn.1000-6621.20230130

Yu Shengnan, Gao Qi, Zheng Liang, Shi Yuan, Chen Yijin, Li Xiujun. Application of regression discontinuity in public health[J]. Chinese Journal of Antituberculosis, 2023, 45(7): 644-650. doi: 10.19982/j.issn.1000-6621.20230130

图/表 3

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