Journal article
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
- Abstract:
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Aims
Multinomial logistic regression models allow one to predict the risk of a categorical outcome with > 2 categories. When developing such a model, researchers should ensure the number of participants (n)) is appropriate relative to the number of events (Ek)) and the number of predictor parameters (pk) for each category k. We propose three criteria to determine the minimum n required in light of existing criteria developed for binary outcomes. ... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.0MB, Terms of use)
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- Publisher copy:
- 10.1177/09622802231151220
Authors
Funding
Bibliographic Details
- Publisher:
- SAGE Publications
- Journal:
- Statistical Methods in Medical Research More from this journal
- Volume:
- 32
- Issue:
- 3
- Pages:
- 555-571
- Place of publication:
- England
- Publication date:
- 2023-01-19
- DOI:
- EISSN:
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1477-0334
- ISSN:
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0962-2802
- Pmid:
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36660777
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1326780
- Local pid:
-
pubs:1326780
- Deposit date:
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2024-01-26
Terms of use
- Copyright holder:
- Pate et al
- Copyright date:
- 2023
- Rights statement:
- © The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- Licence:
- CC Attribution (CC BY)
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