On nonparametric estimating ROC curve based on non-uniform rational B-spline. [PDF]
PLoS ONEThe receiver operating characteristic (ROC) curve is a commonly used statistical method to assess the efficacy of a diagnostic test or biomarker measured on a continuous scale. This work presents a versatile approach using a non-uniform rational B-spline
Mahmut Sami Erdoğan
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Interrelationships Among Sensitivity, Precision, Accuracy, Specificity and Predictive Values in Bioassays, Represented as Combined ROC Curves with Integrated Cutoff Distribution Curves and Novel Index Values [PDF]
DiagnosticsBackground/Objectives: This work introduces accuracy- and precision-ROC curves in addition to SS– and PV–ROC curves and shows a novel means of profiling biomarker characteristics for validation of optimal cutoffs in clinical diagnostics and decision ...
Peter Oehr
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A Novel Information Complexity Approach to Score Receiver Operating Characteristic (ROC) Curve Modeling [PDF]
EntropyPerformance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Aylin Gocoglu +2 more
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Sex prediction from human tooth dimension by ROC curve analysis: a preliminary study [PDF]
Scientific ReportsThough mathematical approaches are effective in developing reliable odontometric equations with high predictive accuracy for sex estimation in forensic odontology, these methods are often complex to apply, making them impractical in certain scenarios ...
Panjit Chunhabundit +2 more
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Mutual Information as a Performance Measure for Binary Predictors Characterized by Both ROC Curve and PROC Curve Analysis [PDF]
Entropy, 2020 The predictive receiver operating characteristic (PROC) curve differs from the more well-known receiver operating characteristic (ROC) curve in that it provides a basis for the evaluation of binary diagnostic tests using metrics defined conditionally on ...
Gareth Hughes +2 more
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A simplified method to approximate a ROC curve with a Bézier curve to calculate likelihood ratios of quantitative test results [PDF]
MethodsX, 2020 In order to calculate likeli hood ratios (LR) values for quantitative test results, a distribution-independent algorithm based on Bézier curves is proposed.
Walter Fierz
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Huisarts en wetenschap, 2016 Diagnostiek en prognostiek zijn kernactiviteiten van elke huisarts en er zijn steeds meer laboratoriumtests om hem hierbij te ondersteunen. Voor goede, doelmatige zorg moet de klinische waarde van deze tests wetenschappelijk zijn aangetoond. Zo kan een huisarts zich afvragen wat de diagnostische waarde is van de CRP-test (C-reactiefproteine) bij ...
Burger, Huibert, Holtman, Gea
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COMPARING DIAGNOSTIC TESTS FROM ROC CURVE COMPARACIÓN DE PRUEBAS DIAGNÓSTICAS DESDE LA CURVA ROC
Revista Colombiana de Estadística, 2007 We study the problem of comparing the power of classification of different methods from the ROC Curve. On one hand, we propose a method based on the supremum measure and, on the other hand, we study the problem of comparing two or more ROC curves from ...
Martínez-Camblor Pablo
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Comparing the power of obesity indices to predict cardiovascular diseases at different ages: An application of conditional time-dependent ROC curve in Healthy Heart Cohort of Yazd, Iran. [PDF]
ARYA AtherosclerKhademi Kolah Loui MH +5 more
europepmc +3 more sources