Affiliations: Department of Statistics, Pondicherry University, Puducherry, India
Correspondence:
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Corresponding author: Sudesh Pundir, Department of Statistics, Pondicherry University, Puducherry-605014, India. E-mail: sudeshpundir19@gmail.com.
Abstract: Receiver Operating Characteristics (ROC) curve serves as a statistical tool to measure the quality of Biomarker in assessing the accuracy of any diagnostic test. This paper portrays the historical background of ROC curve and reviews various parametric methods adopted for fitting the ROC curve till date. The parametric ROC models that are considered in this paper are Bi-Normal, Bi-Gamma, Bi-Lomax, Bi-Weibull, Bi-Rayleigh, Bi-Beta, Bi-Triangular, Bi-Uniform and Bi-Exponential ROC models.
Keywords: ROC curve, area under the curve, Bi-Beta, Bi-Exponential, Bi-Gamma, Bi-Lomax, Bi-Normal, Bi-Rayleigh, Bi-Triangular, Bi-Uniform, Bi-Weibull ROC models
