, 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 …

The accuracy of a binary diagnostic test is usually measured in terms of its sensitivity and its specificity, or …

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 …

by the model, or R^2, commonly used for continuous response models, or using extensions of sensitivity and specificity … on time-specific versions of sensitivity and specificity calculated over risk sets. We connect the accuracy summaries to … Cox regression output can be used to obtain estimates of time-dependent sensitivity and specificity, and time …