방법 비교

	ROC 분석 (수신자 조작 특성)	Kendall's Tau Rank Correlation
분야	통계학	통계학
계열	Hypothesis test	Hypothesis test
기원 연도	1954 (signal detection); 1982 (AUC formalization)	1938
창시자	Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics)	Maurice G. Kendall
유형	Diagnostic accuracy evaluation	Nonparametric rank correlation
원전	Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36.	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93.
별칭	ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis	Kendall tau, Kendall rank correlation, tau-b, tau-c
관련	4	4
요약	ROC analysis evaluates how well a continuous or ordinal test variable discriminates between two binary outcome classes. By plotting the true positive rate (sensitivity) against the false positive rate (1 − specificity) across all decision thresholds, it produces a curve whose area under the curve (AUC) quantifies overall discriminative power, ranging from 0.5 (chance) to 1.0 (perfect discrimination).	Kendall's tau is a nonparametric measure of the ordinal association between two variables. It quantifies how consistently the relative ordering of one variable matches the ordering of another across all observation pairs, making it robust to outliers and suitable for ordinal or non-normally distributed data.