[May cross-sectional studies provide causal inferences?]

Li, Y J; Kan, H; He, Y N; Li, Y X; Mu, Y T; Dai, J H; Zheng, Y J

Li, Y J; Kan, H; He, Y N; Li, Y X; Mu, Y T; Dai, J H; Zheng, Y J.

Afiliación

Li YJ; Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education,
Kan H; Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education,
He YN; Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education,
Li YX; Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education,
Mu YT; Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education,
Dai JH; Department of Epidemiology and Biostatistics, School of Public Health, Xinjiang Medical University, Urumqi 830011, China.
Zheng YJ; Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China; Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai 200032, China; Key Laboratory of Public Health Safety, Ministry of Education,

Zhonghua Liu Xing Bing Xue Za Zhi ; 41(4): 589-593, 2020 Apr 10.

Article en Zh | MEDLINE | ID: mdl-32344487

Asunto(s)

Sesgo; Causalidad; Estudios de Casos y Controles; Estudios de Cohortes; Estudios Transversales; Humanos; Modelos Estadísticos; Proyectos de Investigación

Palabras clave

Causal inference; Causal thinking; Cross-section; Epidemiology; Measured temporal orders; Observation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sesgo / Causalidad Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: Zh Revista: Zhonghua Liu Xing Bing Xue Za Zhi Año: 2020 Tipo del documento: Article

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