Overestimation of Relative Risk and Prevalence Ratio: Misuse of Logistic Modeling

The extensive use of logistic regression models in analytical epidemiology as well as in randomized clinical trials, often creates inflated estimates of the relative risk (RR). Particularly, in cases where a binary outcome has a high or moderate incidence in the studied population (>10%), the bia...

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Detalles Bibliográficos
Autores principales: Gnardellis, Charalambos, Notara, Venetia, Papadakaki, Maria, Gialamas, Vasilis, Chliaoutakis, Joannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689401/
https://www.ncbi.nlm.nih.gov/pubmed/36428910
http://dx.doi.org/10.3390/diagnostics12112851

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689401/
https://www.ncbi.nlm.nih.gov/pubmed/36428910
http://dx.doi.org/10.3390/diagnostics12112851

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