Journal article
Minimum sample size for external validation of a clinical prediction model with a binary outcome
- Abstract:
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In prediction model research, external validation is needed to examine an existing model's performance using data independent to that for model development. Current external validation studies often suffer from small sample sizes and consequently imprecise predictive performance estimates. To address this, we propose how to determine the minimum sample size needed for a new external validation study of a prediction model for a binary outcome. Our calculations aim to precisely estimate calibra...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.1MB, Terms of use)
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- Publisher copy:
- 10.1002/sim.9025
Authors
Funding
Bibliographic Details
- Publisher:
- Wiley
- Journal:
- Statistics in Medicine More from this journal
- Volume:
- 40
- Issue:
- 19
- Pages:
- 4230-4251
- Place of publication:
- England
- Publication date:
- 2021-05-24
- Acceptance date:
- 2021-03-22
- DOI:
- EISSN:
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1097-0258
- ISSN:
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0277-6715
- Pmid:
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34031906
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1179487
- Local pid:
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pubs:1179487
- Deposit date:
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2022-08-14
Terms of use
- Copyright holder:
- Riley et al.
- Copyright date:
- 2021
- Rights statement:
- ©2021 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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