手法を比較

	ROC分析（受信者操作特性曲線）	ケンドールの順位相関係数 (Kendall's Tau Rank Correlation)
分野	統計学	統計学
系統	Hypothesis test	Hypothesis test
提唱年	1954 (signal detection); 1982 (AUC formalization)	1938
提唱者	Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics)	Maurice G. Kendall
種類	Diagnostic accuracy evaluation	Nonparametric rank correlation
原典	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.
別名	ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis	Kendall tau, Kendall rank correlation, tau-b, tau-c
関連	4	4
概要	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.