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multivariate receiver operating characteristic roc analysis  (STATA Corporation)

 
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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 26310 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 26310 article reviews
    multivariate receiver operating characteristic roc analysis - by Bioz Stars, 2026-02
    99/100 stars

    Images

    1) Product Images from "Association between serum soluble urokinase-type plasminogen activator receptor and atrial fibrillation"

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

    Journal: Journal of Arrhythmia

    doi: 10.1016/j.joa.2017.05.003

    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).
    Figure Legend 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).

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    multivariate receiver operating characteristic roc analysis  (STATA Corporation)
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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).
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    multivariate receiver operating characteristic (roc) analysis  (STATA Corporation)
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    <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).
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    Image Search Results


    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: