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

The accuracy of a binary diagnostic test is usually measured in terms of its sensitivity and its specificity, or … through positive and negative predictive values. Another way to describe the validity of a binary diagnostic test is the risk …

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 …Microsatellite instability (MSI) testing is a common screening procedure used to identify families that may harbor … article we perform a meta-analysis of these studies and obtain estimates that can be directly used in counseling and screening …

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 …