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[Application of regression discontinuity design in epidemiological research].
Guo, Z Y; Liu, L; Yu, F F; Wang, J Y; Gao, Y; Ping, Z G.
Afiliación
  • Guo ZY; College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Liu L; School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
  • Yu FF; College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Wang JY; College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Gao Y; College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
  • Ping ZG; College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Zhonghua Yu Fang Yi Xue Za Zhi ; 55(9): 1168-1172, 2021 Sep 06.
Article en Zh | MEDLINE | ID: mdl-34619939
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Diagnostic_studies / Observational_studies Límite: Humans Idioma: Zh Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación Tipo de estudio: Diagnostic_studies / Observational_studies Límite: Humans Idioma: Zh Año: 2021 Tipo del documento: Article