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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,...
Shranjeno v:
| izdano v: | Neuroophthalmology |
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| Main Authors: | , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Taylor & Francis
2018
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| Teme: | |
| Online dostop: | 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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