The covariate-specific receiver operating characteristic curve is frequently used to evaluate the classification accuracy of a diagnostic test when it is associated with certain covariates. In this paper, we proposed a new procedure for estimating this curve based on a reformulation of the conventional location-scale model as well as the idea of composite quantile regression. Asymptotic normali...

ROC curve analysis is used widely in medicine as a method for evaluating the performance of diagnostic tests (3,5,6,10), but has been used recently in many agricultural applications (2,4,5,11,12). The ROC curve provides information regarding how often a test’s predictions are correct, and provides a graphical method for evaluating and discriminating between different diagnostic tests or modific...

This paper describes how to use Receiver Operator Characteristic (ROC) analysis to evaluate radiologists’ performance of interpreting digital mammograms in real-time. We developed an experimental testing system, which implemented a set of clinical lesion-matching rules to prepare raw ROC data. The system can automatically provide detailed evaluations of the performance, such as sensitivity, spe...

Sensitivity and specificity are two components that measure the inherent validity of a diagnostic test for dichotomous outcomes against a gold standard. 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 continuous or on ordinal scale (minimum 5 categories)...

Structural reliability analysis of buried pipeline systems is one of the fundamental issues for water and wastewater asset managers. Measuring the accuracy of a reliability analysis or a failure prediction technique is an effective approach to enhancing its applicability and provides guidance on selection of reliability or failure prediction methods. The determination of threshold value for a p...