Review and evaluation of penalised regression methods for risk prediction in low‐dimensional data with few events

Risk prediction models are used to predict a clinical outcome for patients using a set of predictors. We focus on predicting low‐dimensional binary outcomes typically arising in epidemiology, health services and public health research where logistic regression is commonly used. When the number of ev...

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Detalles Bibliográficos
Autores principales: Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun, De Iorio, Maria, Omar, Rumana Z
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Special Issue Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982098/
https://www.ncbi.nlm.nih.gov/pubmed/26514699
http://dx.doi.org/10.1002/sim.6782

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982098/
https://www.ncbi.nlm.nih.gov/pubmed/26514699
http://dx.doi.org/10.1002/sim.6782

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