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

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 researche...

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Detalles Bibliográficos
Autores principales: Schuster, Noah A., Rijnhart, Judith J. M., Bosman, Lisa C., Twisk, Jos W. R., Klausch, Thomas, Heymans, Martijn W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835340/
https://www.ncbi.nlm.nih.gov/pubmed/36635655
http://dx.doi.org/10.1186/s12874-022-01817-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835340/
https://www.ncbi.nlm.nih.gov/pubmed/36635655
http://dx.doi.org/10.1186/s12874-022-01817-0

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