Results 21 to 30 of about 2,515,870 (362)
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
doaj +1 more source
The ROC curve for regularly measured longitudinal biomarkers. [PDF]
Biostatistics, 2019 Michael H, Tian L, Ghebremichael M.
europepmc +2 more sources
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
doaj +1 more source
On Bootstrapping the ROC Curve
, 2009 This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring statistics in the bipartite setup. The issue of confidence bands for the ROC curve is considered and a resampling procedure based on a smooth version of the empirical distribution called the "smoothed ...
Patrice Bertail +2 more
openalex +3 more sources
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
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source