The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e. most features tested belong to the true negative class. In such cases, only a small portion of the ROC curve is relevant in practical terms, rendering the ROC curve and its area under the cu...

• This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas of application in a single paper. Here, we focus on some frequentist and Bayesian methods which have been mostly employed in the medical setti...

Receiver operating characteristic (ROC) curve is widely applied in measuring discriminatory ability of diagnostic or prognostic tests. This makes ROC analysis one of the most active research areas in medical statistics. Many parametric and semiparametric estimation methods have been proposed for estimating the ROC curve and its functionals. In this paper, we propose a fully nonparametric Bayesi...

Applications that use sensor-based estimates face a fundamental tradeoff between true positives and false positives when examining the reliability of these estimates, one that is inadequately described by the straightforward notion of accuracy. To address this tradeoff, this paper examines the use of Receiver Operating Characteristic (ROC) curve analysis, a method that has a long history but is...

This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring statistics in the bipartite setup. The issue of confidence bands for the ROC curve is considered and a resampling procedure based on a smooth version of the empirical distribution called the ”smoothed bootstrap” is introduced. Theoretical argume...

Receiver operating characteristic (ROC) curve is widely applied in measuring discriminatory ability of diagnostic or prognostic tests. This makes the ROC analysis one of the most active research areas in medical statistics. Many parametric and semiparametric estimation methods have been proposed for estimating the ROC curve and its functionals. In this paper, we propose the Bayesian bootstrap (...

background: the homeostasis model assessment of insulin resistance (homa-ir) is a useful model for application at large epidemiologic studies. the aim of this study was to determine the homa cut off values to identify insulin resistance (ir) and metabolic syndrome (ms) in qazvin, central iran. methods: overall, 480 men and 502 women aged 20-72 yr attended in this cross sectional study from sept...

objective: to determine the diagnostic value of blood cells surface markers in patients with acute appendicitis. methods: in this cross-sectional study, 71 patients who underwent appendectomy following a diagnosis of appendicitis were recruited during a one-year period. the patients were divided into two groups: patients with histopathologically confirmed acute appendicitis and subjects with no...

conclusions using tzpsad as an adjunct to psa may improve the specificity of psa in the diagnosis of pca and decrease the number of unnecessary prostatic biopsies in iranian men with serum psa level < 20 ng/ml. results among 1120 men who were eligible for enrolment, prostate cancer was detected in 265 patients. mean serum psa levels were 9.7 ± 4.3 ng/ml and 8.5 ± 3.7 ng/ml in patients with and ...