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Directed acyclic graphs: languages, rules and applications / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 1140-1144, 2017.
Article em Zh | WPRIM | ID: wpr-737791
Biblioteca responsável: WPRO
ABSTRACT
Nearly all scientific studies explore causality,which will be met by directed acyclic graphs (DAGs).This paper systematically introduces graphic language,basic and interference rules of DAGs,and their applications into identifying research questions,understanding and undertaking research designs,guiding data analysis,classifying biases,etc.DAGs play key roles in causality studies.
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Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: Chinese Journal of Epidemiology Ano de publicação: 2017 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: Chinese Journal of Epidemiology Ano de publicação: 2017 Tipo de documento: Article