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Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease
Journal of the American Statistical Association
The receiver operating characteristic (ROC) curve is a popular method for characterizing the accuracy of diagnostic tests when test results are not binary. Various methodologies for estimating and comparing ROC curves have been developed. One approach, due to Pepe, uses a parametric regression model ROC x u = g h 0 u + 0 x with the baseline function h 0 u specified up to a finite-dimensional parameter. In this article we extend the regression models by allowing arbitrary nonparametric baselinedoi:10.1198/016214502388618915 fatcat:nurfq6iizfcufeq5oklsjnv25e