title: Semiparametric empirical likelihood confidence intervals for the difference of areas under two correlated ROC curves under density ratio model.
abstract: The area under the receiver operating characteristic (ROC) curve, AUC, is commonly used to assess the ability of a diagnostic test to correctly classify individuals into diseased and nondiseased populations. When there are two diagnostic tests available, it is of interest to evaluate and compare their performances. Based on the difference of two placement values, we propose a two-sample empirical likelihood method for comparing AUCs of two ROC curves. The proposed empirical likelihood ratio statistic converges in distribution to a scaled chi-squared random variable. Simulation results show that the proposed empirical likelihood method has better finite-sample performance than other competitors.
authors.affiliation: Department of Mathematics, Computer Science and Statistics, Bloomsburg University, Bloomsburg, PA, 17815, USA.
authors.forename: Dong
authors.initials: D
authors.lastname: Zhang
authors.forename: Biao
authors.initials: B
authors.lastname: Zhang
mesh_terms: D019540:Area Under Curve; D001699:Biometry / Q000379:methods*; D016001:Confidence Intervals; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D010190:Pancreatic Neoplasms / Q000175:diagnosis; D010195:Pancreatitis / Q000175:diagnosis; D012372:ROC Curve
keywords: Area under curve; Empirical likelihood; Placement value; Receiver operating characteristic curve