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

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Detalhes bibliográficos
Publicado no:BMJ
Main Authors: Pavlou, Menelaos, Ambler, Gareth, Seaman, Shaun R, Guttmann, Oliver, Elliott, Perry, King, Michael, Omar, Rumana Z
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group Ltd. 2015
Assuntos:
Research Methods & Reporting
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4531311/
https://ncbi.nlm.nih.gov/pubmed/26264962
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmj.h3868
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