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Sample size for binary logistic prediction models: Beyond events per variable criteria
Binary logistic regression is one of the most frequently applied statistical approaches for developing clinical prediction models. Developers of such models often rely on an Events Per Variable criterion (EPV), notably EPV ≥10, to determine the minimal sample size required and the maximum number of...
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| Published in: | Stat Methods Med Res |
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| Main Authors: | , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
SAGE Publications
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6710621/ https://ncbi.nlm.nih.gov/pubmed/29966490 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280218784726 |
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