Journal article
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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.1MB, Terms of use)
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- Publisher copy:
- 10.1136/bmj-2023-074819
Authors
Funding
Bibliographic Details
- Publisher:
- BMJ Publishing Group
- Journal:
- BMJ More from this journal
- Volume:
- 384
- Article number:
- e074819
- Publication date:
- 2024-01-08
- Acceptance date:
- 2023-09-04
- DOI:
- EISSN:
-
1756-1833
- ISSN:
-
0959-8138
- Pmid:
-
38191193
Item Description
- Language:
-
English
- Keywords:
- Pubs id:
-
1598325
- Local pid:
-
pubs:1598325
- Deposit date:
-
2024-01-25
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Terms of use
- Copyright holder:
- Collins et al.
- Copyright date:
- 2024
- Rights statement:
- Copyright © 2024 The Author(s). This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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