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断点回归设计在流行病学研究中的应用 被引量:4

Application of regression discontinuity design in epidemiological research
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摘要 断点回归设计是一种严格的类实验方法,基于样本在临界值周围分布的随机性,使用两侧数据分别进行回归,从而避免潜在混杂因素的干扰,为因果关联的推断提供强有力的证据。本研究对断点回归方法以及其研究进展进行了介绍,并结合案例对其应用方法进行了详细阐述,以期为断点回归在流行病学研究中的使用提供参考。 Regression discontinuity design(RDD)is a rigorous quasi-experimental method.Based on the randomness of the distribution of samples around the critical value,the data on both sides are used for regression respectively,so as to avoid the interference of potential confounding factors and provide strong evidence for the inference of causal correlation.This study introduces the RDD and its research progress,and expounds its application in detail combined with cases,in order to provide reference for the application of RDD in epidemiological research.
作者 郭昭艳 刘莉 余方方 王俊义 高杨 平智广 Guo Zhaoyan;Liu Li;Yu Fangfang;Wang Junyi;Gao Yang;Ping Zhiguang(College of Public Health,Zhengzhou University,Zhengzhou 450001,China;School of Basic Medical Sciences,Zhengzhou University,Zhengzhou 450001,China)
出处 《中华预防医学杂志》 CAS CSCD 北大核心 2021年第9期1168-1172,共5页 Chinese Journal of Preventive Medicine
基金 河南省自然科学基金(182300410303)。
关键词 流行病学方法 因果律 断点回归设计 Epidemiologic methods Causality Regression discontinuity design
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