Abstract
In this paper we present ROC methodology and analyze the ROC curve. We describe first the historical background and its relation with signal detection theory. Some mathematical properties of this curve are given, and in particular the relation with stochastic orders and statistical hypotheses testing are described. We present also a medical application of the Neymann–Pearson lemma.
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Bamber, D.: The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. J. Math. Psychol. 12, 387–415 (1975)
Erdreich, L.S.: Use of relative operating characteristic analysis in epidemiology. Am. J. Epidemiol. 114, 649–662 (1981)
Green, D.M., Swets, J.A.: Signal Detection Theory and Psychophysics. Wiley, New York (1966)
Goodenough, D.J., Rossmann, K., Lusted, L.B.: Radiographic applications of receiver operating characteristic (ROC) analysis. Radiology 110, 89–95 (1974)
Hanley, J., McNeil, B.J.: The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143, 29–36 (1982)
Hanley, J., McNeil, B.J.: A method of comparing the areas under Receiver Operating Characteristic curves derived from the same cases. Radiology 148, 839–843 (1983)
Hsieh, F.S., Turnbull, B.W.: Non- and semi-parametric estimation of the receiver operating characteristic curve. Technical Report 1026, School of Operations Research, Cornell University (1992)
Hsieh, F.S., Turnbull, B.W.: Nonparametric and semiparametric estimation of the receiver operating characteristic curve. Ann. Stat. 24, 25–40 (1996)
Lloyd, C.J.: Using smoothed receiver operating characteristic curves to summarize and compare diagnostic systems. J. Am. Stat. Assoc. 93, 1356–1364 (1998)
Lusted, L.B.: Signal detectability and medical decision-making. Science 171, 1217–1219 (1971)
Marcum, J.I.: A Statistical Theory of Target Detection by Pulsed Radar, The Research Memorandum, RAND report RM-754 (1947)
Pepe, M.S.: An interpretation for the ROC curve and inference using GLM procedures. Biometrics 56, 352–359 (2000)
Pepe, M.S.: The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press, Oxford (2003)
Shaked, M., Shanthikumar, J.G.: Stochastic Orders. Springer, New York (2007)
Shapiro, D.E.: The interpretation of diagnostic tests. Stat. Methods Med. Res. 8, 113–134 (1999)
Swets, J.A.: Measuring the accuracy of diagnostic systems. Science 240, 1285–1293 (1988)
Zou, K.H., Liu, A., Bandos, A.I., Ohno Machado, L., Rockette, H.E.: Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis, Chapman and Hall/CRC Biostatistics Series, London (2012)
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Communicated by Salvatore Rionero.
Dedicated to the Memory of Carlo Ciliberto.
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Calì, C., Longobardi, M. Some mathematical properties of the ROC curve and their applications. Ricerche mat. 64, 391–402 (2015). https://doi.org/10.1007/s11587-015-0246-8
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DOI: https://doi.org/10.1007/s11587-015-0246-8