How to develop a more accurate risk prediction model when there are few events
Royal Statistical Society · University College London · +2 more institutions
Indexed incrossrefpubmed
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
Citation impact
680
total citations
- FWCI
- 43.08
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- 100%
- References
- 29
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Authors
7Topics & keywords
Topics
Keywords
- Regression
- Regression analysis
- Predictive modelling
- Computer science
- Econometrics
- Risk model
- Statistics
- Machine learning
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