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auc calculations and roc curve generation medcalc 20.0  (MedCalc Software Ltd)

 
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    MedCalc Software Ltd auc calculations and roc curve generation medcalc 20.0
    Auc Calculations And Roc Curve Generation Medcalc 20.0, supplied by MedCalc Software Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/auc calculations and roc curve generation medcalc 20.0/product/MedCalc Software Ltd
    Average 90 stars, based on 1 article reviews
    auc calculations and roc curve generation medcalc 20.0 - by Bioz Stars, 2026-06
    90/100 stars

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    <t>Receiver</t> operating characteristics analysis of serum uric acid to creatinine ratio in predicting the risk of MAFLD in different groups. ( A ) <t>ROC</t> of overall MAFLD. ( B ) ROC of obesity without T 2 DM. ( C ) ROC of non-obesity without T 2 DM. ( D ) ROC of obesity with T 2 DM. ( E ) ROC of non-obesity with T 2 DM.
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    Receiver operating characteristics analysis of serum uric acid to creatinine ratio in predicting the risk of MAFLD in different groups. ( A ) ROC of overall MAFLD. ( B ) ROC of obesity without T 2 DM. ( C ) ROC of non-obesity without T 2 DM. ( D ) ROC of obesity with T 2 DM. ( E ) ROC of non-obesity with T 2 DM.

    Journal: Diabetes, Metabolic Syndrome and Obesity

    Article Title: Association of Uric Acid to Creatinine Ratio with Metabolic Dysfunction-Associated Fatty Liver in Non-Obese Individuals Without Type 2 Diabetes Mellitus

    doi: 10.2147/DMSO.S445916

    Figure Lengend Snippet: Receiver operating characteristics analysis of serum uric acid to creatinine ratio in predicting the risk of MAFLD in different groups. ( A ) ROC of overall MAFLD. ( B ) ROC of obesity without T 2 DM. ( C ) ROC of non-obesity without T 2 DM. ( D ) ROC of obesity with T 2 DM. ( E ) ROC of non-obesity with T 2 DM.

    Article Snippet: To assess the predictive value of sUA/Cr, we examined the receiver operating characteristic (ROC) and calculated the areas under the curves (AUCs) using MedCalc 20.022 statistical software.

    Techniques: