Revstat Statistical Journal, 2014 This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas ...
Luzia Gonçalves +3 more
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Receiver operating characteristic curve: overview and practical use for clinicians [PDF]
Korean Journal of Anesthesiology, 2022 Using diagnostic testing to determine the presence or absence of a disease is essential in clinical practice. In many cases, test results are obtained as continuous values and require a process of conversion and interpretation and into a dichotomous form
Francis Sahngun Nahm
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Submission of Evidence on Online Violence Against Women to the UN Special Rapporteur on Violence Against Women, its Causes and Consequences, Dr Dubravka Šimonović [PDF]
, 2017 Figure S1. B3GALNT2 levels determined by W.B. and ROC curve. aâc Relative mRNA expression of B3GALNT2 in HCC tumor tissues and normal liver tissues obtained from GSE76427, GSE36376, and TCGA-LIHC datasets.
Jiangfan Zhou (5060249) +9 more
core +6 more sources
Web-Bootstrap Estimate of Area Under ROC Curve
Austrian Journal of Statistics, 2016 The accuracy of binary discrimination models (discrimination between cases with and without any condition) is usually summarized by classification matrix (also called a confusion, assignment, or prediction matrix). Receiver operating characteristic (ROC)
Hana Skalská, Václav Freylich
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The STONE Curve: A ROC‐Derived Model Performance Assessment Tool
Earth and Space Science, 2020 A new model validation and performance assessment tool is introduced, the sliding threshold of observation for numeric evaluation (STONE) curve. It is based on the relative operating characteristic (ROC) curve technique, but instead of sorting all ...
Michael W. Liemohn +3 more
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Receiver Operating Characteristic Curve of Total Serum IgE in Allergic Patients [PDF]
مجلة الموصل للتمريض, 2017 Background and objective: Validity of continuous variable test like total serum IgE is performed by constructing Receiver Operating Characteristic (ROC) curve.
Haitham Bader Fathi
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Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve [PDF]
Neural Computation, 2016 The area under the ROC curve (AUC) is a widely used performance measure in machine learning. Increasingly, however, in several applications, ranging from ranking to biometric screening to medicine, performance is measured not in terms of the full area ...
H. Narasimhan, S. Agarwal
semanticscholar +1 more source
Functional Prediction of Hypothetical Proteins from and Validation of the Predicted Models by Using ROC Curve Analysis [PDF]
Genomics & Informatics, 2018 Shigella spp. constitutes some of the key pathogens responsible for the global burden of diarrhoeal disease. With over 164 million reported cases per annum, shigellosis accounts for 1.1 million deaths each year.
Md. Amran Gazi +9 more
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ADC cut points for chronic kidney disease in pathologically-proven cholangiocarcinoma
European Journal of Radiology Open, 2021 Purpose: Apparent diffusion coefficient (ADC) has been shown to indicate renal function in various conditions. As cholangiocarcinoma may have renal involvement due to immune complex-mediated glomerulonephritis, this study aimed to determine whether or ...
Jaturat Kanpittaya +3 more
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Nonparametric confidence intervals for the area under the ROC curve
Statistica, 2013 Following an idea by Jing et al. (2005), this paper combines the empirical likelihood for the mean functional with jackknife pseudo-values obtained from the Mann-Witney two-sample statistic.
Gianfranco Adimari
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