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[Application of parametric g-formula in causal analysis].
Wu, S L; Zhou, J; Li, X; Huang, L T; Zhang, J Y; Guo, C H; Long, S S; Tan, H Z.
Afiliação
  • Wu SL; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
  • Zhou J; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
  • Li X; Institute of Pediatric Research, Hunan Children's Hospital, Changsha 410007, China.
  • Huang LT; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
  • Zhang JY; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
  • Guo CH; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
  • Long SS; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
  • Tan HZ; Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410008, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 40(10): 1310-1313, 2019 Oct 10.
Article em Zh | MEDLINE | ID: mdl-31658536
ABSTRACT
At present, traditional methods on statistics have limitations in controlling time- varying confounding. This paper introduces an analysis method, parametric g-formula, which would adjust time-varying confounding, and also exemplifies the steps of its implementation for purpose to provide a new reference for researchers to deal with long-term observational data.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Métodos Epidemiológicos / Causalidade / Estatística como Assunto Idioma: Zh Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Métodos Epidemiológicos / Causalidade / Estatística como Assunto Idioma: Zh Ano de publicação: 2019 Tipo de documento: Article