How to develop a more accurate risk prediction model when there are few events

When the number of events is low relative to the number of predictors, standard regression could produce overfitted risk models that make inaccurate predictions. Use of penalised regression may improve the accuracy of risk prediction

Detalles Bibliográficos
Autores principales: Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun R, Guttmann, Oliver, Elliott, Perry, King, Michael, Omar, Rumana Z
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2015
Materias:
Research Methods & Reporting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531311/
https://www.ncbi.nlm.nih.gov/pubmed/26264962
http://dx.doi.org/10.1136/bmj.h3868

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531311/
https://www.ncbi.nlm.nih.gov/pubmed/26264962
http://dx.doi.org/10.1136/bmj.h3868

Ejemplares similares