roc construction and auc calculation Search Results


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Roc Construction And Auc Calculation, supplied by GraphPad Software Inc, 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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a. Single Prediction analysis. Receiver operating characteristic <t>(ROC)</t> curve analysis. As a single predictor SerpinA5, the <t>AUC</t> = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).
Roc Curves, Sensitivity, Specificity, And Auc Calculator, 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
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a. Single Prediction analysis. Receiver operating characteristic <t>(ROC)</t> curve analysis. As a single predictor SerpinA5, the <t>AUC</t> = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).
Roc Curve Drawing And Auc Calculation Medcalc 18.11, 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
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MedCalc Software Ltd auc calculations and roc curve generation medcalc 20.0
a. Single Prediction analysis. Receiver operating characteristic <t>(ROC)</t> curve analysis. As a single predictor SerpinA5, the <t>AUC</t> = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).
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a. Single Prediction analysis. Receiver operating characteristic <t>(ROC)</t> curve analysis. As a single predictor SerpinA5, the <t>AUC</t> = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).
Roc, Auc Calculation, Graphs, And Plots, supplied by GraphPad Software Inc, 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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MedCalc Software Ltd roc curve, auc, and cut-off value calculation
a. Single Prediction analysis. Receiver operating characteristic <t>(ROC)</t> curve analysis. As a single predictor SerpinA5, the <t>AUC</t> = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).
Roc Curve, Auc, And Cut Off Value Calculation, 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
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SPSS Inc a roc calculator for the auc computation and testing
a. Single Prediction analysis. Receiver operating characteristic <t>(ROC)</t> curve analysis. As a single predictor SerpinA5, the <t>AUC</t> = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).
A Roc Calculator For The Auc Computation And Testing, supplied by SPSS Inc, 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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a roc calculator for the auc computation and testing - by Bioz Stars, 2026-03
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MedCalc Software Ltd roc construction and auc comparison
a. Single Prediction analysis. Receiver operating characteristic <t>(ROC)</t> curve analysis. As a single predictor SerpinA5, the <t>AUC</t> = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).
Roc Construction And Auc Comparison, 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/roc construction and auc comparison/product/MedCalc Software Ltd
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roc construction and auc comparison - by Bioz Stars, 2026-03
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a. Single Prediction analysis. Receiver operating characteristic (ROC) curve analysis. As a single predictor SerpinA5, the AUC = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).

Journal: PLoS ONE

Article Title: Plasma SerpinA5 in conjunction with uterine artery pulsatility index and clinical risk factor for the early prediction of preeclampsia

doi: 10.1371/journal.pone.0258541

Figure Lengend Snippet: a. Single Prediction analysis. Receiver operating characteristic (ROC) curve analysis. As a single predictor SerpinA5, the AUC = 0.881 (95% CI 0.805–0.956)], with 89.58% sensitivity and 81.25% specificity. b. Combinated Prediction analysis. A combination of plasma SerpinA5, maternal factors and abnormal UtA-PI (above the 95th percentile) enhanced the predictive value for preeclampsia (United AUC was 0.946 (95% CI 0.905–0.988). (Pre-BMI: Pre-pregnancy BMI).

Article Snippet: Receiver operating characteristic (ROC) curves, the sensitivity, specificity, and area under the ROC curve (AUC) were calculated by Medcalc v19.6.1 (MedCalc Software bvba, Ostend, Belgium).

Techniques: Clinical Proteomics