Detection bias:structural analysis of different study designs
10.19428/j.cnki.sjpm.2020.19426
- VernacularTitle:检出偏倚：不同研究设计的结构分析
- Author:
Yi-min ZHU
1
;
Ying-jie ZHENG
Author Information
1. Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China
- Publication Type:Research Article
- Keywords:
detection bias;
Directed Acyclic Graphs;
study design
- From:
Shanghai Journal of Preventive Medicine
2020;32(1):84-
- CountryChina
- Language:Chinese
-
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.
