@article{a502e44761a84502b53cdc28a054cc4f,
title = "Evaluation of clinical prediction models (part 1): from development to external validation",
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.",
author = "Collins, \{Gary S.\} and Paula Dhiman and Jie Ma and Schlussel, \{Michael M.\} and Lucinda Archer and \{Van Calster\}, Ben and Harrell, \{Frank E.\} and Martin, \{Glen P.\} and Moons, \{Karel G.M.\} and \{van Smeden\}, Maarten and Matthew Sperrin and Bullock, \{Garrett S.\} and Riley, \{Richard D.\}",
note = "Publisher Copyright: {\textcopyright} 2024 BMJ Publishing Group. All rights reserved.",
year = "2024",
doi = "10.1136/bmj-2023-074819",
language = "English",
volume = "384",
journal = "BMJ",
issn = "0959-8146",
publisher = "BMJ Publishing Group",
}