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
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author Pavlou, Menelaos
Ambler, Gareth
Seaman, Shaun R
Guttmann, Oliver
Elliott, Perry
King, Michael
Omar, Rumana Z
author_facet Pavlou, Menelaos
Ambler, Gareth
Seaman, Shaun R
Guttmann, Oliver
Elliott, Perry
King, Michael
Omar, Rumana Z
author_sort Pavlou, Menelaos
collection PubMed
description 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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spelling pubmed-45313112015-08-18 How to develop a more accurate risk prediction model when there are few events Pavlou, Menelaos Ambler, Gareth Seaman, Shaun R Guttmann, Oliver Elliott, Perry King, Michael Omar, Rumana Z BMJ Research Methods & Reporting 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 BMJ Publishing Group Ltd. 2015-08-11 /pmc/articles/PMC4531311/ /pubmed/26264962 http://dx.doi.org/10.1136/bmj.h3868 Text en © Pavlou et al 2015 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Methods & Reporting
Pavlou, Menelaos
Ambler, Gareth
Seaman, Shaun R
Guttmann, Oliver
Elliott, Perry
King, Michael
Omar, Rumana Z
How to develop a more accurate risk prediction model when there are few events
title How to develop a more accurate risk prediction model when there are few events
title_full How to develop a more accurate risk prediction model when there are few events
title_fullStr How to develop a more accurate risk prediction model when there are few events
title_full_unstemmed How to develop a more accurate risk prediction model when there are few events
title_short How to develop a more accurate risk prediction model when there are few events
title_sort how to develop a more accurate risk prediction model when there are few events
topic Research Methods & Reporting
url 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
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