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The effect of random measurement error on receiver operating characteristic (ROC) curves
Statistics in Medicine, 2000In this paper confidence intervals for the area under the ROC curve are adjusted for the presence of measurement error. A parametric normal model is assumed. The ratio of intra-individual to inter-individual variance provides a relative measure of the amount of measurement error. An exact adjusted confidence interval is developed for the equal variance
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Medical Decision Making, 1985
The area under the receiver operating characteristic (ROC) curve serves as one means for evaluating the performance of diagnostic and predictive test systems. The most commonly used method for estimating the area under an ROC curve utilizes the maximum-likelihood-estimation technique, and a nonparametric method to calculate the area under an ROC curve ...
R M, Centor, J S, Schwartz
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The area under the receiver operating characteristic (ROC) curve serves as one means for evaluating the performance of diagnostic and predictive test systems. The most commonly used method for estimating the area under an ROC curve utilizes the maximum-likelihood-estimation technique, and a nonparametric method to calculate the area under an ROC curve ...
R M, Centor, J S, Schwartz
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Physics in Medicine & Biology, 2018
Abstract Receiver operating characteristic (ROC) analysis is a tool used to describe the discrimination accuracy of a diagnostic test or prediction model. While sensitivity and specificity are the basic metrics of accuracy, they have many limitations when characterizing test accuracy, particularly when comparing the accuracies of ...
Nancy A Obuchowski, Jennifer A Bullen
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Abstract Receiver operating characteristic (ROC) analysis is a tool used to describe the discrimination accuracy of a diagnostic test or prediction model. While sensitivity and specificity are the basic metrics of accuracy, they have many limitations when characterizing test accuracy, particularly when comparing the accuracies of ...
Nancy A Obuchowski, Jennifer A Bullen
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Receiver operator characteristic (ROC) curves and non‐normal data: An empirical study
Statistics in Medicine, 1990AbstractThis paper evaluates the performance of several diagnostic kits for assessing levels of serum prostatic acid phosphatase on patients at different stages of cancer of the prostate. Each patient was studied with several kits. We compare results obtained for receiver operator characteristic (ROC) curve methodology with data assumed to follow a ...
M J, Goddard, I, Hinberg
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Medical Physics, 2001
We propose a principled formulation of the ROC curve that is constrained in a realistic way by the mechanism of probability summation. The constrained and conventional ROC formulations were fitted to 150 separate sets of rating data taken from previous observer studies of 250 or 529 chest radiographs.
R G, Swensson, J L, King, D, Gur
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We propose a principled formulation of the ROC curve that is constrained in a realistic way by the mechanism of probability summation. The constrained and conventional ROC formulations were fitted to 150 separate sets of rating data taken from previous observer studies of 250 or 529 chest radiographs.
R G, Swensson, J L, King, D, Gur
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On the Consistent Estimation of Optimal Receiver Operating Characteristic (ROC) Curve
Advances in Neural Information Processing Systems 35, 2022Renxiong Liu, Yunzhang Zhu
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A Visicalc Program for Estimating the Area Under a Receiver Operating Characteristic (ROC) Curve
Medical Decision Making, 1985The area under the ROC curve interests us as a method for analyzing discrimination or detectability. One can assess a diagnostic test or probability assessor with respect to its degree of discrimination. The area under the ROC curve gives us the probability of correctly identifying abnormal from normal in a forced-choice, two-alternative problem ...
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[ROC (receiver operating characteristics) curve: principles and application in biology].
Annales de biologie clinique, 2005Laboratory test's diagnostic performances are generally estimated by means of their sensibility, specificity and positive and negative predictive values. Unfortunately, these indices reflect only imperfectly the capacity of a test to correctly classify subjects into clinically relevant subgroups.
H, Delacour +4 more
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Radiology and the Receiver Operating Characteristic (ROC) Curve
Chest, 1975W. Scott Andrus, Kenneth T. Bird
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