Application of regression discontinuity in public health

doi:10.19982/j.issn.1000-6621.20230130

Abstract

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

CLC Number:

R181.2

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

Figures/Tables 3

References 37

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