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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Xehetasun bibliografikoak
Egile Nagusiak: Osl, Melanie, Ohno-Machado, Lucila, Baumgartner, Christian, Tilg, Bernhard, Dreiseitl, Stephan
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: American Medical Informatics Association 2008
Gaiak:
Articles
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC2656048/
https://ncbi.nlm.nih.gov/pubmed/18998878
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