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Detection bias:structural analysis of different study designs / 上海预防医学
Shanghai Journal of Preventive Medicine ; (12): 84-2020.
Artículo en Chino | WPRIM | ID: wpr-876343
ABSTRACT
Detection bias is an information bias.It was first proposed by Horwitz from the study investigating the association of the administration of estrogen after menopause with the occurrence of endometrial cancer, which still prevails in most epidemiological studies.We use the Directed Acyclic Graph to analyze the effect of a given exposure on a specific outcome with the association estimates between the measured exposure and outcome.Detection bias occurs when there is additional open paths irrelevant to the target path of interest which is originated from measured exposure to measured outcome.We further analyzed how the detection bias was formed under different study designs, including cohort study, randomized clinical trial and case-control study in order to further investigate its potential influence on the effect/association estimation.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Ensayo Clínico Controlado / Estudio diagnóstico / Estudio observacional / Factores de riesgo Idioma: Chino Revista: Shanghai Journal of Preventive Medicine Año: 2020 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Ensayo Clínico Controlado / Estudio diagnóstico / Estudio observacional / Factores de riesgo Idioma: Chino Revista: Shanghai Journal of Preventive Medicine Año: 2020 Tipo del documento: Artículo