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	Corrélation de rang Tau de Kendall	Analyse ROC (Courbe Caractéristique d'Opération du Récepteur)
Domaine	Statistique	Statistique
Famille	Hypothesis test	Hypothesis test
Année d'origine	1938	1954 (signal detection); 1982 (AUC formalization)
Auteur d'origine	Maurice G. Kendall	Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics)
Type	Nonparametric rank correlation	Diagnostic accuracy evaluation
Source fondatrice	Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93.	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.
Alias	Kendall tau, Kendall rank correlation, tau-b, tau-c	ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis
Apparentées	4	4
Résumé	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.	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).