Nonparametric covariate adjustment for receiver operating characteristic curves [PDF]
, 2009 The accuracy of a diagnostic test is typically characterised using the receiver operating characteristic (ROC) curve. Summarising indexes such as the area under the ROC curve (AUC) are used to compare different tests as well as to measure the difference ...
Fang Yao, Radu V. Craiu, Benjamin Reiser
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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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Plotting receiver operating characteristic and precision–recall curves from presence and background data [PDF]
Ecology and Evolution, 2021 The receiver operating characteristic (ROC) and precision–recall (PR) plots have been widely used to evaluate the performance of species distribution models.
Wenkai Li, Qinghua Guo
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Estimating the Area under a Receiver Operating Characteristic Curve For Repeated Measures Design [PDF]
Journal of Statistical Software, 2003 The receiver operating characteristic (ROC) curve is widely used for diagnosing as well as for judging the discrimination ability of different statistical models.
Tongtong Wu, Honghu Liu
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An alternative to receiver-operating characteristic curves. [PDF]
Clinical Chemistry, 1983 J Fuentes, M Martínez
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The receiver operating characteristic (ROC) curve
Southwest Respiratory and Critical Care Chronicles, 2017 Shengping Yang, Gilbert Berdine
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The use of receiver operating characteristic curves in biomedical informatics
Journal of Biomedical Informatics, 2005 Receiver operating characteristic (ROC) curves are frequently used in biomedical informatics research to evaluate classification and prediction models for decision support, diagnosis, and prognosis. ROC analysis investigates the accuracy of a model's ability to separate positive from negative cases (such as predicting the presence or absence of disease)
Thomas A. Lasko +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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