Evaluation of clinical prediction models (part 1): from development to external validation
Nuffield Orthopaedic Centre · University of Oxford · +11 more institutions
Abstract
Evaluating the performance of a clinical prediction model is crucial to establish its predictive accuracy in the populations and settings intended for use. In this article, the first in a three part series, Collins and colleagues describe the importance of a meaningful evaluation using internal, internal-external, and external validation, as well as exploring heterogeneity, fairness, and generalisability in model performance.
Citation impact
- FWCI
- 157.32
- Percentile
- 100%
- References
- 65
Authors
13- GSGary S. CollinsCorresponding
Nuffield Orthopaedic Centre, University of Oxford
- PDPaula Dhiman
Nuffield Orthopaedic Centre, University of Oxford
- JMJie Ma
Nuffield Orthopaedic Centre, University of Oxford
- MMMichael Maia Schlüssel
Nuffield Orthopaedic Centre, University of Oxford
- LALucinda Archer
NIHR Birmingham Biomedical Research Centre, University of Birmingham
Topics & keywords
- Computer science
- Predictive modelling
- External validity
- Data mining
- Machine learning
- Statistics
- Mathematics