Journal article
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
- Abstract:
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When designing a study to develop a new prediction model with binary or time‐to‐event outcomes, researchers should ensure their sample size is adequate in terms of the number of participants (n) and outcome events (E) relative to the number of predictor parameters (p) considered for inclusion. We propose that the minimum values of n and E (and subsequently the minimum number of events per predictor parameter, EPP) should be calculated to meet the following three criteria: (i) small optimism i...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.1002/sim.7992
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Bibliographic Details
- Publisher:
- Wiley
- Journal:
- Statistics in Medicine More from this journal
- Volume:
- 38
- Issue:
- 7
- Pages:
- 1276-1296
- Publication date:
- 2018-10-24
- Acceptance date:
- 2018-09-13
- DOI:
- EISSN:
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1097-0258
- ISSN:
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0277-6715
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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pubs:935169
- UUID:
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uuid:743761e7-58a5-4968-9195-2b266abe6ad3
- Local pid:
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pubs:935169
- Source identifiers:
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935169
- Deposit date:
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2018-10-30
Terms of use
- Copyright holder:
- Riley, et al
- Copyright date:
- 2018
- Notes:
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© 2018 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‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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