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SAS institute multivariate roc analysis
Multivariate Roc Analysis, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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STATA Corporation multivariate receiver operating characteristic (roc) analysis
Multivariate Receiver Operating Characteristic (Roc) Analysis, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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STATA Corporation multivariate receiver operating characteristic roc analysis
<t>Receiver</t> operating characteristic <t>(ROC)</t> analysis for the prediction of non-paroxysmal atrial fibrillation (NPAF). The red line indicates the ROC curve used to predict NPAF for a combination of age, sex, log(eGFR), systolic blood pressure and CRP (model 1). Purple line shows the ROC curve used to predict NPAF for model 1 plus log(suPAR) (model 2). The area under the ROC curve tended to increase in model 2 (0.812), as compared with model 1 (0.777, P = 0.084).
Multivariate Receiver Operating Characteristic Roc Analysis, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/multivariate receiver operating characteristic roc analysis/product/STATA Corporation
Average 99 stars, based on 1 article reviews
multivariate receiver operating characteristic roc analysis - by Bioz Stars, 2026-03
99/100 stars
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Receiver operating characteristic (ROC) analysis for the prediction of non-paroxysmal atrial fibrillation (NPAF). The red line indicates the ROC curve used to predict NPAF for a combination of age, sex, log(eGFR), systolic blood pressure and CRP (model 1). Purple line shows the ROC curve used to predict NPAF for model 1 plus log(suPAR) (model 2). The area under the ROC curve tended to increase in model 2 (0.812), as compared with model 1 (0.777, P = 0.084).

Journal: Journal of Arrhythmia

Article Title: Association between serum soluble urokinase-type plasminogen activator receptor and atrial fibrillation

doi: 10.1016/j.joa.2017.05.003

Figure Lengend Snippet: Receiver operating characteristic (ROC) analysis for the prediction of non-paroxysmal atrial fibrillation (NPAF). The red line indicates the ROC curve used to predict NPAF for a combination of age, sex, log(eGFR), systolic blood pressure and CRP (model 1). Purple line shows the ROC curve used to predict NPAF for model 1 plus log(suPAR) (model 2). The area under the ROC curve tended to increase in model 2 (0.812), as compared with model 1 (0.777, P = 0.084).

Article Snippet: Multivariate receiver operating characteristic (ROC) analysis was performed using STATA 12 software (StataCorp LP, College Station, TX, USA).

Techniques: