Receiver operating characteristic curve
Current Medicine Research and Practice, 2012 A receiver operating characteristic (ROC) curve is a plot of tradeoff between sensitivity and specificity. It is a plot that evaluates a diagnostic test for a continuous variable between diseased and non-diseased subjects.
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Part 5: Receiver Operating Characteristic Curve and Area under the Curve
Emergency, 2016 Multiple diagnostic tools are used by emergency physicians,every day. In addition, new tools are evaluated to obtainmore accurate methods and reduce time or cost of conventionalones.
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Value of Spinal Infection Treatment Evaluation Score, Pola Classification, and Brighton Spondylodiscitis Score from Decision to Surgery in Patients with Spondylodiscitis: A Receiver-Operating Characteristic Curve Analysis. [PDF]
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Modernising Receiver Operating Characteristic (ROC) Curves
Algorithms, 2023 The justification for making a measurement can be sought in asking what decisions are based on measurement, such as in assessing the compliance of a quality characteristic of an entity in relation to a specification limit, SL. The relative performance of
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Two-graph Receiver Operating Characteristic [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2002 The command roctg allows visualizing sensitivity (Se)and specificity (Sp) curves according to the range of values of a new diagnostic test, given a “true” state of an event, the reference test. On request, several options for displaying Se and Sp estimates in, or enhancements for, the graphs are also available.
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215 Assessment of the Diagnostic Sensitivity and Specificity of Pain Biomarkers in Cattle Using Receiver Operating Characteristic Curves [PDF]
J Anim Sci, 2020 Martin M +3 more
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ROCS: receiver operating characteristic surface for class-skewed high-throughput data. [PDF]
PLoS ONE, 2012 The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e.
Tianwei Yu
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Association of Serum Calcium and Serum Uric Acid Level with Inflammatory Markers to Predict the Outcome of COVID-19 Infection: A Retrospective Study [PDF]
Journal of Clinical and Diagnostic Research, 2023 Introduction: Novel Coronavirus Disease 2019 (COVID-19) is an acute respiratory disease and the severity of COVID-19 is highly variable, ranging from asymptomatic infection to life-threatening disease.
BN Kruthi, N Asha Rani, D Namitha
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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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Atmosphere, 2021 The evaluation of general circulation models (GCM) is a fundamental step in climate research in terms of both quality assurance/quality control and realistic representation of the dynamics of the atmospheric flows in the future projections. In this paper,
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