The Impact of Joint Misclassification of Exposures and Outcomes on the Results of Epidemiologic Research

The Impact of Joint Misclassification of Exposures and Outcomes on the Results of Epidemiologic... Purpose of Review We discuss the causes and impacts of dependent nondifferential misclassification with particular attention to the mechanisms by which dependent misclassification occurs. We also present suggestions for how to reduce the potential for dependent misclassification. Recent Findings Misclassification is ubiquitous in associations between exposures and outcomes in epidemiology. While most epidemiologic textbooks cover independent nondifferential misclassification of both exposures and outcomes, the impact of joint misclassification of exposure and outcome is a poorly understood problem. Summary Under common scenarios, joint misclassification of exposure and outcome can lead to strong bias (in any direction) even when the misclassification of both variables is nondifferential. The direction and magnitude of the bias will depend on the amount of dependent error and the mechanism by which the dependencies occur, as well as the direction and magnitude of the true effect along with the extent to which additional independent nondifferential misclassification of exposures or outcomes also exists. . . . . Keywords Misclassification Dependent error Common source bias Differential Non-differential Introduction knowledge regarding the time between exposure and outcome that is relevant to causation [1]. Given the multitude of ways Misclassification is ubiquitous in assessing associations be- variables can be misclassified in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Epidemiology Reports Springer Journals

The Impact of Joint Misclassification of Exposures and Outcomes on the Results of Epidemiologic Research

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer International Publishing AG, part of Springer Nature
Subject
Medicine & Public Health; Epidemiology
eISSN
2196-2995
D.O.I.
10.1007/s40471-018-0147-y
Publisher site
See Article on Publisher Site

Abstract

Purpose of Review We discuss the causes and impacts of dependent nondifferential misclassification with particular attention to the mechanisms by which dependent misclassification occurs. We also present suggestions for how to reduce the potential for dependent misclassification. Recent Findings Misclassification is ubiquitous in associations between exposures and outcomes in epidemiology. While most epidemiologic textbooks cover independent nondifferential misclassification of both exposures and outcomes, the impact of joint misclassification of exposure and outcome is a poorly understood problem. Summary Under common scenarios, joint misclassification of exposure and outcome can lead to strong bias (in any direction) even when the misclassification of both variables is nondifferential. The direction and magnitude of the bias will depend on the amount of dependent error and the mechanism by which the dependencies occur, as well as the direction and magnitude of the true effect along with the extent to which additional independent nondifferential misclassification of exposures or outcomes also exists. . . . . Keywords Misclassification Dependent error Common source bias Differential Non-differential Introduction knowledge regarding the time between exposure and outcome that is relevant to causation [1]. Given the multitude of ways Misclassification is ubiquitous in assessing associations be- variables can be misclassified in

Journal

Current Epidemiology ReportsSpringer Journals

Published: Apr 20, 2018

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