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The Use of a Nomogram to Visually Interpret a Logistic Regression Prediction Model for Giant Cell Arteritis

Objective: To illustrate the utility of a nomogram for the prediction of giant cell arteritis (GCA). Method: A nomogram was constructed from a multivariable logistic regression prediction model with 10 covariates: age, sex, clinical temporal artery abnormality, new-onset headache, jaw claudication,...

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Publicado en:Neuroophthalmology
Main Authors: Ing, Edsel B., Ing, Royce
Formato: Artigo
Idioma:Inglês
Publicado: Taylor & Francis 2018
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6152514/
https://ncbi.nlm.nih.gov/pubmed/30258473
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01658107.2018.1425728
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