rate, the false non-discovery rate, the sensitivity and the specificity. The results can provide guidance on how to select …

, 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 …

The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the … outcomes. Parametric maximum likelihood methods for Þtting of the ROC curve provide direct estimates of the area under the ROC … curve and its variance. Nonparametric methods, on the other hand, provide estimates of the area under the ROC curve, but do …

precision estimates of sensitivity and specificity obtained in validity studies with incomplete designs. Copyright 2002 by Stata …

sensitivity, equivalent to a smaller false discovery rate, if the signal-discovering protocol implemented within the computed … focal regions is different from that used outside of the focal regions. We also numerically compute the specificity as the …

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 …