Risk prediction models: II. External validation, model updating, and impact assessment
University Medical Center Utrecht · South African Medical Research Council · +6 more institutions
Abstract
Clinical prediction models are increasingly used to complement clinical reasoning and decision-making in modern medicine, in general, and in the cardiovascular domain, in particular. To these ends, developed models first and foremost need to provide accurate and (internally and externally) validated estimates of probabilities of specific health conditions or outcomes in the targeted individuals. Subsequently, the adoption of such models by professionals must guide their decision-making, and improve patient outcomes and the cost-effectiveness of care. In the first paper of this series of two companion papers, issues relating to prediction model development, their internal validation, and estimating the added…
Citation impact
- FWCI
- 247.73
- Percentile
- 100%
- References
- 56
Authors
7- KGKarel G.M. MoonsCorresponding
University Medical Center Utrecht
- APAndré Pascal Kengne
South African Medical Research Council, The University of Sydney, University of Cape Town, University Medical Center Utrecht, The George Institute for Global Health
- DEDiederick E. Grobbee
University Medical Center Utrecht
- PRPatrick Royston
MRC Clinical Trials Unit at UCL
- YVYvonne Vergouwe
University Medical Center Utrecht
Topics & keywords
- Medicine
- Predictive modelling
- Complement (music)
- Field (mathematics)
- Risk assessment
- Clinical decision making
- Risk analysis (engineering)
- Machine learning
- Peace, Justice and strong institutions