The Operating Characteristic (OC) curve
On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models
... When the same data are used to fit a model and estimate its predictive performance, this estimate may be optimistic, and its correction is required. The aim of this work is to compare the behaviour of different methods ...
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Receiver Operating Characteristic curve analysis determines association of individual potato foliage volatiles with onion thrips preference, cultivar and plant age
... ‘Bismark’), and two additional cultivars (‘Desiree’, Spunta’) at two different growth stages. We compared the volatile profiles of the sampled plants using Receiver Operating Characteristic Curve ...
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Evaluation of hemoglobin performance in the assessment of iron stores in feto-maternal pairs in a high-risk population: receiver operating characteristic curve analysis
... receiver operating characteristic curve analysis, the objective of this study was to see whether hemoglobin levels reflect body iron stores in a group of pregnant women at term who, by using serum ...
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Evaluation of hemoglobin performance in the assessment of iron stores in feto-maternal pairs in a high-risk population: receiver operating characteristic curve analysis
... receiver operating characteristic curve analysis, the objective of this study was to see whether hemoglobin levels reflect body iron stores in a group of pregnant women at term who, by using serum ...
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Comparison of Two Statistical Methods to Determine Normal Range of Androgen Hormones: K-Means Cluster Analysis and Receiver Operating Characteristic Curve
... Objective: To assess and compare the normal ranges of androgen hormones level, total testosterone (TT), free testosterone (FT), dehydrotestosterone (DHT), androstenedione (A4), dehydroepiandrosterone (DHEA), and ...
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Application of receiver operating characteristic curve for pipeline reliability analysis.
... Receiver Operating Characteristic (ROC) curve has been applied where empirical and Nonparametric Predictive Inference (NPI) techniques are used to evaluate the accuracy of pipeline reliability ...
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Semi-parametric Regression for the Area Under the Receiver Operating Characteristic Curve
... Attractions of this approach are that it can be simply applied by adapting standard binary regression methods, it requires fewer assumptions than existing ROC regression methods, it is t[r] ...
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Estimating the area under a receiver operating characteristic curve for repeated measures design
... treatments and other covariates on outcomes that are measured over time can be analyzed and evaluated by appropriately calculated ROC curves that take into account the dependence of observations within a subject. ...
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A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method
... ROC curve to the empirical data: first, conduct a direct test of the binor- mal assumption, such as the z test of normality for the non-diseased and diseased sample data or their appro- priately transformed ...
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Confidence Intervals for the Area Under the Receiver Operating Characteristic Curve in the Presence of Ignorable Missing Data
... receiver-operating characteristic (ROC) curve (Pepe, 2003), which graphically compares specificity and sensitivity levels; specifically, the ROC curve is a plot of sensitivity against 1 - ...
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Oxidative status in different settings and with different methodological approaches compared by Receiver Operating Characteristic curve analysis
... Nevertheless, the use of commercial kits tested in the present study is still widespread among clinical and research laboratories for their simplicity of use and the low cost, so an additional study on their performance ...
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Using the Optimal Receiver Operating Characteristic Curve to Design a Predictive Genetic Test, Exemplified with Type 2 Diabetes
... ROC curve method was found to be highly consistent with the one originally ...ROC curve and the optimal ROC curve in such a simple sce- nario ...
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Estimation of Area under Receiver Operating Characteristic Curve for Bi Pareto and Bi Two Parameter Exponential Models
... • 0.5 if the model does not have discriminative quality; • between 0.5 and 1.0 for a reasonable model; • if the model is perfect. There are many methods, parametric as well as non-parametric, to find the AUROC. ...
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Comparative assessment of three common algorithms for estimating the variance of the area under the nonparametric receiver operating characteristic curve
... 288 Variance of the area under the nonparametric ROC curve When the outcome of the diagnostic test was measured on a discrete ordinal scale, the methods developed by DeLong et al. and by Bamber outperformed Hanley ...
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Evaluation of Volume and Total Nucleated Cell Count as Cord Blood Selection Parameters A Receiver Operating Characteristic Curve Modeling Approach
... ROC curve analysis to validate current CB parameters as surrogates for CD34+ cell counting and ability to provide reliable, effective, and cost-effective criteria for the appropriate identification of CB units ...
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Sex differences in the prediction of the effectiveness of paroxetine for patients with major depressive disorder identified using a receiver operating characteristic curve analysis for early response
... ROC curve to analyze the MADRS improvement rating to determine the cutoff points that yield the highest combined sensitivity and specificity for distinguishing responders and nonresponders among all of the ...
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Statistics review 13: Receiver operating characteristic curves
... Receiver operating characteristic curve and area under the curve When the cut-off value for a continuous diagnostic variable is increased (assuming that larger values indicate an increased ...
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Receiver operating characteristic (ROC) curve for medical researchers
... Receiver operating characteristic (ROC) curve is the plot that depicts the trade-off between the sensitivity and (1-specificity) across a series of cut-off points when the diagnostic test is ...
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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 regression to estimate ...
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A Linear Regression Framework for the Receiver Operating Characteristic(ROC) Curve Analysis
... ROC curve; Sensitivity Introduction New advances in medical technology have produced an array of potentially powerful tools to screen for and diagnose various medical ...receiver operating ...
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