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Improving Calibration of Logistic Regression Models by Local Estimates
OBJECTIVE: To improve the calibration of logistic regression (LR) estimates using local information. BACKGROUND: Individualized risk assessment tools are increasingly being utilized. External validation of these tools often reveals poor model calibration. METHODS: We combine a clustering algorithm w...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Medical Informatics Association
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2656048/ https://ncbi.nlm.nih.gov/pubmed/18998878 |
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