Noncollapsibility and its role in quantifying confounding bias in logistic regression

BACKGROUND: Confounding bias is a common concern in epidemiological research. Its presence is often determined by comparing exposure effects between univariable- and multivariable regression models, using an arbitrary threshold of a 10% difference to indicate confounding bias. However, many clinical...

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Detalles Bibliográficos
Autores principales: Schuster, Noah A., Twisk, Jos W. R., ter Riet, Gerben, Heymans, Martijn W., Rijnhart, Judith J. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259440/
https://www.ncbi.nlm.nih.gov/pubmed/34225653
http://dx.doi.org/10.1186/s12874-021-01316-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259440/
https://www.ncbi.nlm.nih.gov/pubmed/34225653
http://dx.doi.org/10.1186/s12874-021-01316-8

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