[Causality in objective world: Directed Acyclic Graphs-based structural parsing].

Zheng, Y J; Zhao, N Q; He, Y N

Zheng, Y J; Zhao, N Q; He, Y N.

Afiliación

Zheng YJ; Department of Public Health Microbiology of School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Key Laboratory of Health Technology Assessment, Ministry of Health, Fudan University, Shanghai 200032, China.
Zhao NQ; Department of Biostatistics, School of Public Health, Fudan University, Shanghai 200032, China.
He YN; Department of Public Health Microbiology of School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Key Laboratory of Health Technology Assessment, Ministry of Health, Fudan University, Shanghai 200032, China.

Zhonghua Liu Xing Bing Xue Za Zhi ; 39(1): 90-93, 2018 Jan 10.

Article en Zh | MEDLINE | ID: mdl-29374904

Asunto(s)

Causalidad; Gráficos por Computador; Interpretación Estadística de Datos; Métodos Epidemiológicos; Factores de Confusión Epidemiológicos; Humanos

Palabras clave

Causal Web; Causality; Confounding; Directed Acyclic Graphs; Temporality

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gráficos por Computador / Métodos Epidemiológicos / Causalidad / Interpretación Estadística de Datos Tipo de estudio: Etiology_studies Límite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2018 Tipo del documento: Article País de afiliación: China

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