Sample size considerations and predictive performance of multinomial logistic prediction models

Multinomial Logistic Regression (MLR) has been advocated for developing clinical prediction models that distinguish between three or more unordered outcomes. We present a full‐factorial simulation study to examine the predictive performance of MLR models in relation to the relative size of outcome c...

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Detalles Bibliográficos
Autores principales: de Jong, Valentijn M. T., Eijkemans, Marinus J. C., van Calster, Ben, Timmerman, Dirk, Moons, Karel G. M., Steyerberg, Ewout W., van Smeden, Maarten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590172/
https://www.ncbi.nlm.nih.gov/pubmed/30614028
http://dx.doi.org/10.1002/sim.8063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6590172/
https://www.ncbi.nlm.nih.gov/pubmed/30614028
http://dx.doi.org/10.1002/sim.8063

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