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Minimum sample size for external validation of a clinical prediction model with a continuous outcome

Abstract:

Clinical prediction models provide individualized outcome predictions to inform patient counseling and clinical decision making. External validation is the process of examining a prediction model's performance in data independent to that used for model development. Current external validation studies often suffer from small sample sizes, and subsequently imprecise estimates of a model's predictive performance. To address this, we propose how to determine the minimum sample size needed for ext...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/sim.8766

Authors


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Role:
Author
ORCID:
0000-0003-2504-2613
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Role:
Author
ORCID:
0000-0001-9373-6591
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Role:
Author
ORCID:
0000-0001-7481-0282
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Role:
Author
ORCID:
0000-0001-7894-1159
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Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-2772-2316
Publisher:
Wiley
Journal:
Statistics in Medicine More from this journal
Volume:
40
Issue:
1
Article number:
sim.8766
Pages:
133-146
Publication date:
2020-11-04
Acceptance date:
2020-09-11
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
Language:
English
Keywords:
Pubs id:
1140916
Local pid:
pubs:1140916
Deposit date:
2020-11-07

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