title: Evaluating agreement with a gold standard in method comparison studies.
abstract: We develop a statistical model for method comparison studies where a gold standard is present and propose a measure of agreement. This measure can be interpreted as a population correlation coefficient in a constrained bivariate model. An estimator of this coefficient is proposed and its statistical properties explored. Applications of the new methodology to data from the medical literature are presented.
authors.affiliation: Department of Mathematics and Statistics, Northern Arizona University, Flagstaff 86011-5717, USA. Roy.St.Laurent@nau.edu
authors.forename: R T
authors.initials: RT
authors.lastname: St Laurent
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001699:Biometry / Q000379:methods*; D004285:Dogs; D006321:Heart / Q000000981:diagnostic imaging; D015233:Models, Statistical; D009203:Myocardial Infarction / Q000000981:diagnostic imaging; D012106:Research / Q000592:standards; D012107:Research Design; D015899:Tomography, Emission-Computed, Single-Photon / Q000592:standards