Sample size for binary logistic prediction models: Beyond events per variable criteria

Binary logistic regression is one of the most frequently applied statistical approaches for developing clinical prediction models. Developers of such models often rely on an Events Per Variable criterion (EPV), notably EPV ≥10, to determine the minimal sample size required and the maximum number of...

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Detalles Bibliográficos
Autores principales: van Smeden, Maarten, Moons, Karel GM, de Groot, Joris AH, Collins, Gary S, Altman, Douglas G, Eijkemans, Marinus JC, Reitsma, Johannes B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710621/
https://www.ncbi.nlm.nih.gov/pubmed/29966490
http://dx.doi.org/10.1177/0962280218784726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6710621/
https://www.ncbi.nlm.nih.gov/pubmed/29966490
http://dx.doi.org/10.1177/0962280218784726

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