- Published
- 2024-01-08
- Venue
- BMJ, vol. 384, pp. e074819
- Cited by
- 770
- Open access
- Yes, hybrid
- DOI
- 10.1136/bmj-2023-074819
- PubMed
- 38191193
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.