Bias in Odds Ratios From Logistic Regression Methods With Sparse Data Sets

BACKGROUND: Logistic regression models are widely used to evaluate the association between a binary outcome and a set of covariates. However, when there are few study participants at the outcome and covariate levels, the models lead to bias of the odds ratio (OR) estimated using the maximum likeliho...

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Detalles Bibliográficos
Autores principales: Gosho, Masahiko, Ohigashi, Tomohiro, Nagashima, Kengo, Ito, Yuri, Maruo, Kazushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165217/
https://www.ncbi.nlm.nih.gov/pubmed/34565762
http://dx.doi.org/10.2188/jea.JE20210089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165217/
https://www.ncbi.nlm.nih.gov/pubmed/34565762
http://dx.doi.org/10.2188/jea.JE20210089

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