Guo Z Y, Liu L, Yu F F, Wang J Y, Gao Y, Ping Z G
College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2021 Sep 6;55(9):1168-1172. doi: 10.3760/cma.j.cn112150-20201029-01323.
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.
回归断点设计（RDD）是一种严谨的准实验方法。基于临界值周围样本分布的随机性，分别对两侧的数据进行回归，从而避免潜在混杂因素的干扰，为因果关联推断提供有力证据。本研究介绍了回归断点设计及其研究进展，并结合案例详细阐述其应用，以期为回归断点设计在流行病学研究中的应用提供参考。
