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 …

Sensitivity and specificity are common measures of the accuracy of a diagnostic test. The usual estimators of these … connecting the (sensitivity, 1? specificity) points at each cutpoint of the test using step functions and/or line segments. This …, possibly depending on the result of the diagnostic test and other characteristics of the subjects. Estimators of sensitivity …

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 …

transactionattributes, that is, asset specificity, transaction frequency, and uncertainty. The research is based on the theoretical …

might evolve on a regional basis considering the sensitivity of the break-even cost to four major drivers: technical …

revenues. We also consider two sensitivity scenarios that examine (1) the effect of changes in MISO membership (2003 vs. 2004 …