@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",
}