Evaluation of clinical prediction models (part 2): how to undertake an external validation study
NIHR Birmingham Biomedical Research Centre · University of Birmingham · +5 more institutions
Abstract
External validation studies are an important but often neglected part of prediction model research. In this article, the second in a series on model evaluation, Riley and colleagues explain what an external validation study entails and describe the key steps involved, from establishing a high quality dataset to evaluating a model’s predictive performance and clinical usefulness.
Citation impact
- FWCI
- 80.59
- Percentile
- 100%
- References
- 74
Authors
8- RDRichard D RileyCorresponding
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- LALucinda Archer
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- KIKym I E Snell
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- JEJoie Ensor
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- PDPaula Dhiman
Nuffield Orthopaedic Centre, University of Oxford
Topics & keywords
- Computer science
- Predictive modelling
- Key (lock)
- Model validation
- Quality (philosophy)
- External validity
- Data mining
- Data science
Funding
- UHUniversity Hospitals Birmingham NHS Foundation Trust
- CRCancer Research UKAward: C49297/A27294
- NINational Institute for Health and Care ResearchAward: C49297/A27294
- DODepartment of Health and Social Care
- MRMedical Research CouncilAwards: MR/V038168/1, C49297/A27294, MR/V038168/1
- EAEngineering and Physical Sciences Research CouncilAwards: EP/Y018516/1, EP/Y018516/1
- BBBirmingham Biomedical Research Centre