Results 21 to 30 of about 2,344,066 (336)
, 2007 Resampling procedures allows a better use of ROC curves and AUC for predictive purposes. We also address a drawback of AUC for the comparison of ROC curves which are crossing, by recommending the use of partial AUC.
Niang Keita, Ndeye, Saporta, Gilbert
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The ROC curve for regularly measured longitudinal biomarkers. [PDF]
Biostatistics, 2019 Michael H, Tian L, Ghebremichael M.
europepmc +2 more sources
An alternative parameterization for the binormal ROC curve, with applications to sizing and simulation studies. [PDF]
Proc SPIE Int Soc Opt EngHillis SL.
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Accuracy Assessment of Pistachio Climate Suitability Map Based on ROC Curve [PDF]
محیط زیست و مهندسی آب, 2023 The aim of this study was to evaluate the accuracy of the climate suitability map of pistachio planting in the northwestern provinces of the country.
Jamshid Yarahmadi +2 more
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Concentration and ROC Curves, Revisited [PDF]
Sankhya A, 2021 AbstractThis work is aimed at illustrating the strict relationship between a general definition of concentration function appeared quite some time ago on this journal and a widely used measure of the diagnostic strength of a family of binary classifiers indexed by a threshold parameter, the so-called ROC curve.
Gasparini M., Sacchetto L.
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Which Curve Fits Best: Fitting ROC Curve Models to Empirical Credit-Scoring Data
Risks, 2022 In the practice of credit-risk management, the models for receiver operating characteristic (ROC) curves are helpful in describing the shape of an ROC curve, estimating the discriminatory power of a scorecard, and generating ROC curves without underlying
Błażej Kochański
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Validation of the highly sensitive person scale for suicide screening in high-risk groups: A case-control study [PDF]
Precision and Future Medicine, 2023 Purpose High sensitivity is among the risk factors that increase psychological burden, increasing the risk of suicide in some people. The aim of the study was to develop a Korean version of the Highly Sensitive Person (HSP) scale and investigate its ...
Yaehee Cho +5 more
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Entropy, 2020 Background: This investigation included both a study of potential non-invasive diagnostic approaches for the bladder cancer biomarker UBC® Rapid Test and a study including comparative methods about sensitivity–specificity characteristic (SS-ROC) and ...
Peter Oehr, Thorsten Ecke
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Reflection on modern methods: Revisiting the area under the ROC Curve.
International Journal of Epidemiology, 2020 The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used for assessing the discriminative ability of prediction models even though the measure is criticized for being clinically irrelevant and lacking an intuitive ...
A. Janssens, F. K. Martens
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Lognormal Lorenz and normal receiver operating characteristic curves as mirror images [PDF]
Royal Society Open Science, 2015 The Lorenz curve for assessing economic inequality depicts the relation between two cumulative distribution functions (CDFs), one for the distribution of incomes or wealth and the other for their first-moment distribution.
R. John Irwin, Michael J. Hautus
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