Evaluating agreement with a gold standard in method comparison studies.
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.
St Laurent
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RT
Department of Mathematics and Statistics, Northern Arizona University, Flagstaff 86011-5717, USA. Roy.St.Laurent@nau.edu
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