title: A nonparametric maximum likelihood estimator for the receiver operating characteristic curve area in the presence of verification bias.
abstract: The efficacy of a diagnostic test can be represented by the area under the receiver operating characteristic (ROC) curve. In estimating the ROC curve area, a common problem is verification bias resulting from selectively verifying a subset of patients initially tested. This paper proposes a simple verification bias correction procedure for estimating the ROC curve area and its corresponding variance.
authors.affiliation: Department of Medicine, Indiana University School of Medicine, Indianapolis 46202-5200, USA.
authors.forename: X H
authors.initials: XH
authors.lastname: Zhou
mesh_terms: D015982:Bias; D001699:Biometry / Q000379:methods; D003198:Computer Simulation; D003933:Diagnosis; D006801:Humans; D007239:Infections / Q000175:diagnosis / Q000000981:diagnostic imaging; D016013:Likelihood Functions; D009010:Monte Carlo Method; D012372:ROC Curve; D014057:Tomography, X-Ray Computed