A new semiparameteric model of the receiver operating characteristic (ROC) curve based on resilience family or proportional reversed hazard is proposed, which an alternative to existing models. The resulting ROC and its summary indices (such as area under Youden index) have simple analytic forms. partial likelihood method applied estimate curve. Moreover, estimation methodologies been developed...

BACKGROUND AND PURPOSE Detection of acute infarction in the posterior circulation is challenging. We aimed to determine the additional value of tomograpy (CT) perfusion to noncontrast CT and CT angiography source images for infarct detection and localization in patients suspected of acute ischemic posterior circulation stroke. METHODS Patients with suspected acute ischemic posterior circulati...

1. Introduction Many diagnostic tests are quantitative especially in clinical chemistry. Receiver operating characteristic (ROC) analysis is well recognized statistical tool for the evaluation how well the diagnostic test can discriminate diseased and non-diseased populations. The area under ROC curve (AUC) is often used to summarize the diagnostic accuracy of the diagnostic test. This area, a ...

The receiver operating characteristic (ROC) curve is one of the most commonly used methods to compare the diagnostic performances of two or more laboratory or diagnostic tests. In this thesis, we propose semi-empirical likelihood based confidence intervals for ROC curves of two populations, where one population is parametric while the other one is non-parametric and both populations have missin...

Defect severity assessment is highly essential for the software practitioners so that they can focus their attention and resources on the defects having a higher priority than the other defects. This would directly impact resource allocation and planning of subsequent defect fixing activities. In this paper, we intend to predict a model which will be used to assign a severity level to each of t...

Receiver operating characteristic (ROC) curves are frequently used to compare the accuracy of two or more imaging modalities. This paper addresses the use of ROC analysis to evaluate the speed and accuracy of digital mammography, as compared to conventional film-screen mammography.

background identification of a normal range for biomarkers, based on pregnancy outcomes (caused by their high or low values) is of special importance in clinical studies. as some pregnancy outcomes can happen in both high and low levels of biomarkers, the receiver-operating characteristic (roc) curve is unsuitable for identifying these levels separately; rather, a statistical method is preferab...

The systematic testing of intermediate-term earthquake prediction algorithms is faced with the difficulties of (1) the limited time spanned by instrumental catalogs of seismicity in most areas of the world, and (2) the relative arbitrariness of the selection of the region and time interval over which to apply the algorithm. We offer a systematic method which uses worldwide seismicity to compute...