Sensitivity and specificity are common measures of the accuracy of a diagnostic test. The usual estimators of these … test. The area under the ROC curve (AUC) is the most widely used measure for summarizing the ability of a continuous … is common to estimate the AUC from a bias-corrected ROC curve. The variance of the estimator, however, does not have a …

In diagnostic studies, both sensitivity and specificity depend on cut-off point and they are well-known measures for …-off point associated with Youden index depends on both diseased and healthy samples, henceforth, sensitivity and specificity at … confidence region of sensitivity and specificity at the cut-off point determined by the Youden index. A real data set is analyzed …

lead to improved treatment and thus reduce medical mistakes. The sensitivity and specificity are two important measurements … confidence interval for the sensitivity at a fixed level of specificity for the test. In this thesis, we propose three empirical … likelihood intervals for the sensitivity. Simulation studies are conducted to compare the empirical likelihood based confidence …

sensitivity and specificity of MSI for detecting germline mutations of mismatch repair genes is critical in genetic counseling and …. In particular we estimate the sensitivity of MSI for detecting mutations of MSH2 and MLH1 to be 0.78 (0 …

assessing scoring systems. Its principle is to simulate virtual data using a stochastic model and, then, to estimate sensitivity … and specificity values from these data for different scoring systems. The interest of our approach was illustrated in a …

, cases and controls, and is com- monly summarized by using the receiver operating characteristic (ROC) curve. In studies of … classification accuracy, there are often covariates that should be incorporated into the ROC analysis. We describe three ways of … adjustment. For factors that affect discrimination (i.e., the ROC curve), we describe methods for modeling the ROC curve as a …

to compare the sensitivity, specificity and area under the ROC curve (AUC) of indices constructed using equal number of …, specificity and AUC of an index increase as the number of partitions of components increases. However, the rate that the … regression model for each component was proposed as potential weight. The current simulation results showed that the sensitivity …

. Methods for estimating the receiver operating characteristic (ROC) curve are also described. The finite-sample properties of …