ROC curve Analysis
nsROC: An R package for Non-Standard ROC Curve Analysis
... Non-Standard ROC Curve Analysis by Sonia Pérez-Fernández, Pablo Martínez-Camblor, Peter Filzmoser and Norberto Corral Abstract The receiver operating characteristic (ROC) curve is a ...
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A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis
... Various factors can affect a test performance beyond the disease status, which motivates incorporating the covariate information into the ROC curve analysis. We demonstrate how to use linear ...
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A Linear Regression Framework for the Receiver Operating Characteristic(ROC) Curve Analysis
... Citation: Zhang Z, Huang Y (2012) A Linear Regression Framework for the Receiver Operating Characteristic (ROC) Curve Analysis. J Biomet Biostat 3:137. doi:10.4172/2155-6180.1000137 Copyright: © 2012 ...
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Time-dependent ROC curve analysis in medical research: current methods and applications
... (ROC) curve is a tool that simply describes the range of trade-offs achieved by a diagnostic ...test. ROC curve analysis is extensively used in biomedical studies for evaluating the ...
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Original Article ROC curve analysis of the significance of PCT combined with MR-proADM in the early diagnosis of childhood sepsis
... Correlation analysis was performed by Spearman. ROC curve was used to evaluate the prognosis of ...indicators. ROC curve analysis was used to determine the value of combined ...
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Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies
... Decision curve analysis in case-control studies So far, we have implicitly assumed that our random sample was representative for the population of ...
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Original Article An ROC curve analysis of serum PLA2R antibody, glomerular PLA2R, and IgG4 in membranous nephropathy
... The ROC curve demonstrated that the combined detection of serum anti-PLA2R antibody, glomerular PLA2R and IgG subtype deposition increased the diag- nostic sensitivity of ...
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Regression Analysis for the Partial Area Under the ROC Curve
... (ROC) curve analysis is appropriate. The partial area under the ROC curve (pAUC) is a summary measure of the ROC curve used to make statistical inference when only a ...
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Evaluation of biomarker using two parameter bi-exponential ROC curve
... Bi-Exponential ROC curve analysis to two parameter exponential ROC curve ...bi-exponential ROC curve have been ...a ROC to be proper, TNR asymmetric which is ...
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Evaluation of Area under the Constant Shape Bi-Weibull ROC Curve
... (ROC) curve generated based on assuming a constant shape Bi-Weibull distribution is ...of ROC curve analysis, it is assumed that biomarker values from controls and cases follow some ...
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What is an ROC curve?
... 3. Altman DG, Bland JM. Diagnostic tests 3: receiver operating characteristic plots. BMJ 1994;309:188. 4. Schisterman EF, Perkins NJ, Liu A, et al. Optimal cut?point and its corresponding Youden Index to discriminate ...
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Optimal Weights in Nonparametric Analysis of Clustered ROC Curve Data
... Abstract In diagnostic trials, clustered data are obtained when several subunits of the same patient are ob- served. Within-cluster correlations need to be taken into account when analyzing such clustered data. A ...
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Non-parametric estimation of ROC curve
... the ROC curve, called the area under the curve (AUC), can be interpreted as the probability of Y greater than X, which can be easily understandable to a wider ...
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ROC curve analyses of eyewitness identification decisions: An analysis of the recent debate
... etical ROC. The theoretical ROC for a given measure simply connects all combinations of hit and false alarm rates that yield the same accuracy value according to that measure, regardless of differences in ...
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Some mathematical properties of the ROC curve and their applications
... 6 A medical application In medicine a diagnostic test is any kind of medical test performed to aid in the diagnosis or detection of a disease. In particular, a diagnostic test should correctly classify patients into ...
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Generalization Bounds for the Area Under an ROC Curve
... curves. ROC curves were originally developed in signal detection theory for analysis of radar images (Egan, 1975), and have been used extensively in various fields such as medical ...
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Generalization Bounds for the Area Under the ROC Curve
... We study generalization properties of the area under the ROC curve (AUC), a quantity that has been advocated as an evaluation criterion for the bipartite ranking problem. The AUC is a different term than ...
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ROC Curve, Lift Chart and Calibration Plot
... Therefore it develops a classifier that predicts the probability that a household is a potential customer. To fit this classifier and to express the dependency between the costs and the expected benefit the lift chart ...
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ROC Analysis
... the ROC curve has a ‘dent’ or ...smoothed curve in the example: the rightmost bin of the histogram has a positive-to-negative ratio of 5, while the next bin has a ratio of ...the ROC ...
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THE ROC CURVE MODEL FROM GENERALIZED-EXPONENTIAL DISTRIBUTION
... In this paper the parametric equation of the Receiving Operating Characteristic (ROC) curve model is established under the assumptions of bi-distributional population based on pair of ...
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