Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates

Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates

Abstract Background Confounding is a common issue in epidemiological research. Commonly used confounder-adjustment methods include multivariable regression analysis and propensity score methods. Although it is common practice to assess the linearity assumption for the exposure-outcome effect, most r...

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Bibliographic Details
Main Authors: Noah A. Schuster, Judith J. M. Rijnhart, Lisa C. Bosman, Jos W. R. Twisk, Thomas Klausch, Martijn W. Heymans
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medical Research Methodology
Subjects:
Confounding
Confounder-adjustment
Linearity assumption
Confounder-exposure association
Confounder-outcome association
Multivariable regression analysis
Online Access:https://doi.org/10.1186/s12874-022-01817-0

Internet

https://doi.org/10.1186/s12874-022-01817-0

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