1 |
Swets JA (1988). Measuring the accuracy of diagnostic systems, Science, 240, 1285-1293.
DOI
|
2 |
Yoo HS and Hong CS (2011). Optimal criterion of classification accuracy measures for normal mixture, Communications for Statistical Applications and Methods, 18, 343-355.
DOI
|
3 |
Perkins NJ and Schisterman EF (2006). The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve, American Journal of Epidemiology, 163, 670-675.
DOI
|
4 |
Cho MH and Hong CS (2015). Two optimal threshold criteria for ROC analysis, Journal of the Korean Data & Information Science Society, 26, 255-260.
DOI
|
5 |
Green DM and Swets JA (1966). Signal detection theory and psychophysics (vol. 1), New York.
|
6 |
Hong CS and Choi JS (2009). Optimal threshold from ROC and CAP curves, The Korean Journal of Applied Statistics, 22, 911-921.
DOI
|
7 |
Hong CS and Lee SJ (2018). TROC curve and accuracy measures, Journal of the Korean Data & Information Science Society, 29, 861-872.
DOI
|
8 |
Metz CE (1978). Basic principles of ROC analysis, Seminars in Nuclear Medicine, 8, 283-298.
|
9 |
Hong CS and Jang DH (2020). Validation ratings for the length of the ROC curve, Journal of the Korean Data & Information Science Society, 31, 851-863.
DOI
|
10 |
Hanley JA and McNeil BJ (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve, Radiology, 143, 29-36.
DOI
|
11 |
Hong CS, Joo JS, and Choi JS (2010). Optimal thresholds from mixture distributions, The Korean Journal of Applied Statistics, 23, 13-28.
DOI
|
12 |
Moses LE, 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.
DOI
|
13 |
Hong CS, Lin MH, Hong SW, and Kim GC (2011). Classification accuracy measures with minimum error rate for normal mixture, Journal of the Korean Data & Information Science Society, 22, 619-630.
|
14 |
Hong CS (2009). Optimal threshold from ROC and CAP curves, Communications in Statistics-Simulation and Computation, 38, 2060-2072.
DOI
|
15 |
Krzanowski WJ and Hand DJ (2009). ROC Curves for Continuous Data. Chapman & Hall/CRC, Boca Raton.
|
16 |
Lambert J and Lipkovich I (2008). A macro for getting more out of your ROC curve, SAS Global Forum, 231.
|
17 |
Tasche D (2008). Validation of internal rating systems and PD estimates, The Analytics of Risk Model Validation, 169-196.
|
18 |
Pepe MS (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction, Oxford University Press, Oxford.
|
19 |
Pettitt AN (1976). A two-sample Anderson-Darling rank statistic, Biometrika, 63, 161-168.
DOI
|
20 |
Pontius Jr, RG and Si K (2014). The total operating characteristic to measure diagnostic ability for multiple thresholds, International Journal of Geographical Information Science, 28, 570-583.
DOI
|
21 |
Centor RN (1991). Signal detectability: The use of ROC curves and their analyses, Medical Decision Making, 11, 102-106.
DOI
|
22 |
Vuk M and Curk T (2006). ROC curve, lift chart and calibration plot, Metodoloski Zvezki, 3, 89-108.
|
23 |
Youden WJ (1950). Index for rating diagnostic test, Cancer, 3, 32-35.
DOI
|
24 |
Altman DG and Bland JM (1994). Diagnostic tests. 1: Sensitivity and specificity, BMJ: British Medical Journal, 308, 1552.
DOI
|
25 |
Bamber D (1975). The area above the ordinal dominance graph and the area below the receiver operating characteristic graph, Journal of Mathematical Psychology, 12, 387-415.
DOI
|
26 |
Brasil P (2010). Diagnostic Test Accuracy Evaluation for Medical Professionals, Package DiagnosisMed in R.
|
27 |
Connell FA and Koepsell TD (1985). Measures of gain in certainty from a diagnostic test, American Journal of Epidemiology, 121, 744-753.
DOI
|
28 |
Egan JP and Egan JP (1975). Signal Detection Theory and ROC-Analysis, Academic press, New York.
|
29 |
Zweig MH and Campbell G (1993). Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine, Clinical chemistry, 39, 561-577.
DOI
|
30 |
Hong CS, Oh SH, and Oh TG (2021). Odds curve for two classification distributions, The Korean Journal of Applied Statistics, 34, 225-238.
DOI
|
31 |
Joseph MP (2005). A PD validation framework for Basel II internal ratings-based systems, Credit Scoring and Credit Control IV
|
32 |
Bradley AP (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms, Pattern Recognitions, 30, 1145-1159.
DOI
|