Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study
NIHR Birmingham Biomedical Research Centre · University of Birmingham · +6 more institutions
Abstract
An external validation study evaluates the performance of a prediction model in new data, but many of these studies are too small to provide reliable answers. In the third article of their series on model evaluation, Riley and colleagues describe how to calculate the sample size required for external validation studies, and propose to avoid rules of thumb by tailoring calculations to the model and setting at hand.
Citation impact
- FWCI
- 53.84
- Percentile
- 100%
- References
- 32
Authors
8- RDRichard D RileyCorresponding
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- KIKym I E Snell
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- LALucinda Archer
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- JEJoie Ensor
NIHR Birmingham Biomedical Research Centre, University of Birmingham
- TPThomas P. A. Debray
Utrecht University, University Medical Center Utrecht
Topics & keywords
- Sample size determination
- Computer science
- Rule of thumb
- Sample (material)
- Data mining
- Model validation
- Predictive modelling
- Machine learning
Funding
- UHUniversity Hospitals Birmingham NHS Foundation Trust
- CRCancer Research UK
- NINational Institute for Health and Care Research
- DODepartment of Health and Social Care
- FWFonds Wetenschappelijk OnderzoekAward: G097322N
- KLKU LeuvenAward: C24M/20/064
- VRVlaamse regering
- MRMedical Research CouncilAward: MR/V038168/1
- EAEngineering and Physical Sciences Research CouncilAwards: EP/Y018516/1, EP/Y018516/1
- BBBirmingham Biomedical Research Centre