How to develop a more accurate risk prediction model when there are few events.
Accepted version
Peer-reviewed
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Abstract
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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Keywords
Models, Statistical, Regression Analysis, Reproducibility of Results, Risk Assessment, Sample Size
Journal Title
BMJ
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Journal ISSN
0959-8146
1756-1833
1756-1833
Volume Title
351
Publisher
BMJ