Conditions for valid estimation of causal effects on prevalence in cross-sectional and other studies

Flanders W. Dana; Klein Mitchel; Mirabelli Maria C.

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Conditions for valid estimation of causal effects on prevalence in cross-sectional and other studies

机译：在横断面研究和其他研究中有效估计因果关系的因果关系的条件

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Purpose: Causal effects in epidemiology are almost invariably studied by considering disease incidence even when prevalence data are used to estimate the causal effect. For example, if certain conditions are met, a prevalence odds ratio can provide a valid estimate of an incidence rate ratio. Our purpose and main result are conditions that assure causal effects on prevalence can be estimated in cross-sectional studies, even when the prevalence odds ratio does not estimate incidence.

机译：目的：即使使用患病率数据估算因果关系，也几乎总是通过考虑疾病发生率来研究流行病学中的因果关系。例如，如果满足某些条件，则患病几率可以提供发病率比率的有效估计。我们的目的和主要结果是确保即使在患病几率比不能估计发病率的情况下，也可以在横断面研究中估计对患病率的因果关系的条件。

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《Annals of epidemiology》 |2016年第6期|共6页
作者
Flanders W. Dana; Klein Mitchel; Mirabelli Maria C.;
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正文语种 eng
中图分类流行病学与防疫;
关键词
Prevalence; Causal effects; Validity; Survey; Cross-sectional studies; Target population;

机译：患病率;因果效应;有效性;调查;横断面研究;目标人群;

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1. Conditions for valid estimation of causal effects on prevalence in cross-sectional and other studies [J] . Flanders W. Dana, Klein Mitchel, Mirabelli Maria C. Annals of epidemiology . 2016,第6期

机译：在横断面研究和其他研究中有效估计因果关系的因果关系的条件
2. Measures and models for causal inference in cross-sectional studies: arguments for the appropriateness of the prevalence odds ratio and related logistic regression [J] . Michael E Reichenheim, Evandro SF Coutinho BMC Medical Research Methodology . 2010,第1期

机译：横断面研究中因果推论的度量和模型：关于患病几率比和相关逻辑回归是否适当的争论
3. Validity of the Tinel Sign and Prevalence of Tibial Nerve Entrapment at the Tarsal Tunnel in Both Diabetic and Nondiabetic Subjects: A Cross-Sectional Study [J] . Rinkel Willem D., Castro Cabezas Manuel, van Neck Johan W., Plastic and reconstructive surgery . 2018,第5期

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4. The effects of the total floor area of a building on building-related symptoms in air-conditioned office buildings: a cross-sectional study [C] . Azuma K, Kagi N, Yanagi U, Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology . 2019

机译：建筑物总建筑面积对空调办公大楼中与建筑物相关的症状的影响：横断面研究
5. Complementary log -log regression for the estimation of adjusted prevalence ratios in the analysis of data from cross-sectional studies [D] . Penman, Alan D. 2008

机译：互补对数-对数回归用于估计横断面研究数据中的调整患病率
6. Conditions for valid estimation of causal effects on prevalence in cross-sectional and other studies [O] . W. Dana Flanders, Mitchel Klein, Maria C. Mirabelli -1

机译：在横断面研究和其他研究中有效估计流行率的因果关系的条件
7. Measures and models for causal inference in cross-sectional studies: arguments for the appropriateness of the prevalence odds ratio and related logistic regression [O] . Coutinho Evandro SF, Reichenheim Michael E 2010

机译：横断面研究中因果推断的量度和模型：关于患病几率比和相关逻辑回归是否适当的争论

Conditions for valid estimation of causal effects on prevalence in cross-sectional and other studies

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