, specificity and prevalence of a diseased population in the chosen community for the research study. However, this statistical …The purpose of the diagnostic methodology is to discuss, estimate and interpret medical parameters such as sensitivity …

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 …

of sensitivity and specificity for all the possible values of the cut-point. This dissertation concentrates on …

addition, we give results that allow us to get all cut-off points that maximize a weighted combination of specificity and … sensitivity. In addition, we discuss measures of association between predicted probabilities and observed responses, and, in …

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 …

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 …

, we also relate these classification loss functions on parameter ensembles to the concepts of posterior sensitivity and … specificity. Finally, we discuss the potential applications of balanced and p-weighted TCLs in Bayesian hierarchical models, and …

reporting the sensitivity, specificity, and observed FDR. These datasets are useful for characterizing the performance of …