References
- 홍종선, 주재선, 최진수 (2010). 혼합분포에서의 최적분류점, <응용통계연구>, 23, 13-28.
- 홍종선, 최진수 (2009). ROC와 CAP 곡선에서의 최적분류점, <응용통계연구>, 22, 911-921.
- Brasil, P. (2010). Diagnostic test accuracy evaluation for medical professionals, package DiagnosisMed in R.
- Cantor, S. B. and Kattan, M.W. (2000). Determining the area under the ROC curve for a binary diagnostic test, Medical Decision Making, 20, 468-470. https://doi.org/10.1177/0272989X0002000410
- Cantor, S. B., Sun, C. C., Tortolero-Luna, G., Richards-Kortum, R. and Follen, M. (1999). A comparison of C/B ratios from studies using receiver operating characteristic curve analysis, Journal of Clinical Epidemiology, 52, 885-892. https://doi.org/10.1016/S0895-4356(99)00075-X
- Connell, F. A. and Koepsell, T. D. (1985). Measures of gain in certainty from a diagnostic test, American Journal of Epidemiology, 121, 744-753. https://doi.org/10.1093/aje/121.5.744
- Engelmann, B., Hayden, E. and Tasche, D. (2003). Measuring the discriminative power of rating systems, series 2: Banking and Financial Supervision, 01.
- Fawcett, T. (2003). ROC graphs: notes and practical considerations for data mining researchers, HP Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304.
- Feinstein, A. R. (2002). Principles of Medical Statistics, Chapman & Hall/CRC, Boca Raton, FL.
- Finley, J. P. (1884). Tornado predictions, American Meteorological Journal, 1, 85-88.
- Freeman, E. A. and Moisen, G. G. (2008). A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa, Ecological Modelling, 217, 48-58. https://doi.org/10.1016/j.ecolmodel.2008.05.015
- Greiner, M. M. and Gardner, I. A. (2000). Epidemiologic issues in the validation of veterinary diagnostic tests, Preventive Veterinary Medicine, 45, 3-22. https://doi.org/10.1016/S0167-5877(00)00114-8
- Krzanowski, W. J. and Hand, D. J. (2009). ROC Curves for Continuous Data, Champman & Hall/CRC, Boca Raton, FL.
- Lambert, J. and Lipkovich, I. (2008). A macro for getting more out of your ROC curve, SAS Global Forum, 231.
- Liu, C., White, M. and Newell1, G. (2009). Measuring the accuracy of species distribution models: a review, 18th World IMACS/MODSIM Congress, http://mssanz.org.au/modsim09.
- Moses, L. E., Shapiro, D. and Littenberg, B. (1993). Combining independent studies of a diagnostic test into a summary ROC curve: Data-analytic approaches and some additional considerations, Statistics in Medicine, 12, 1293-1316. https://doi.org/10.1002/sim.4780121403
- Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction, University Press, Oxford.
- Perkins, N. J. and Schisterman, E. F. (2006). The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve, American Journal of Epidemiology, 163, 670-675. https://doi.org/10.1093/aje/kwj063
- Provost, F. and Fawcett, T. (2001). Robust classification for imprecise environments, Machine Learning, 42, 203-231. https://doi.org/10.1023/A:1007601015854
- Sobehart, J. R. and Keenan, S. C. (2001). Measuring default accurately, Credit Risk Special Report, Risk, 14, 31-33.
- Tasche, D. (2006). Validation of internal rating systems and PD estimates, arXiv.org, eprint arXiv:physics/0606071.
- Velez, D. R., White, B. C., Motsinger, A. A., Bush,W. S., Ritchie, M. D.,Williams, S. M. and Moore, J. H. (2007). A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction, Genetic Epidemiology, 31, 306-315. https://doi.org/10.1002/gepi.20211
- Ward, C. D. (1986). The differential positive rate, a derivative of receiver operating characteristic curves useful in comparing tests and determining decision levels, Clinical Chemistry, 32, 1428-1429.
- Youden, W. J. (1950). Index for rating diagnostic test, Cancer, 3, 32-35. https://doi.org/10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3
- Zhou, X. H., Obuchowski, N. A. and McClish, D. K. (2002). Statistical Methods in Diagnostic Medicine, Wiley, New York.
Cited by
- Optimal thresholds criteria for ROC surfaces vol.24, pp.6, 2013, https://doi.org/10.7465/jkdi.2013.24.6.1489
- Alternative Optimal Threshold Criteria: MFR vol.27, pp.5, 2014, https://doi.org/10.5351/KJAS.2014.27.5.773
- Alternative accuracy for multiple ROC analysis vol.25, pp.6, 2014, https://doi.org/10.7465/jkdi.2014.25.6.1521