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Guide to presenting clinical prediction models for use in clinical settings.

Abstract:
For permission to use (where not already granted under a licence) please go to. Clinical prediction models estimate the risk of existing disease or future outcome for an individual, which is conditional on the values of multiple predictors such as age, sex, and biomarkers. In this article, Bonnett and colleagues provide a guide to presenting clinical prediction models so that they can be implemented in practice, if appropriate. They describe how to create four presentation formats and discuss the advantages and disadvantages of each format. A key message is the need for stakeholder engagement to determine the best presentation option in relation to the clinical context of use and the intended users.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1136/bmj.l737

Authors


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Role:
Author
ORCID:
0000-0002-6981-9212
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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
ORCID:
0000-0002-2772-2316


Publisher:
BMJ Publishing
Journal:
BMJ More from this journal
Volume:
365
Issue:
2019
Article number:
l737
Publication date:
2019-04-17
Acceptance date:
2019-02-08
DOI:
EISSN:
1756-1833
ISSN:
0959-8138
Pmid:
30995987


Language:
English
Pubs id:
pubs:995068
UUID:
uuid:da6b3ca2-330a-462e-88df-a18d7c42a4dc
Local pid:
pubs:995068
Source identifiers:
995068
Deposit date:
2019-05-08

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