How to develop a more accurate risk prediction model when there are few events.
Where this comes from
- Record sourced from PubMed, PMID 26264962.
- Also identified by DOI 10.1136/bmj.h3868 and PMC identifier 4531311.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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
Medical subject headings
- Models, Statistical
- Regression Analysis