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ROC-analyse (Receiver Operating Characteristic)×Kendalls tau-korrelasjon×
FagfeltStatistikkStatistikk
FamilieHypothesis testHypothesis test
Opprinnelsesår1954 (signal detection); 1982 (AUC formalization)1938
OpphavspersonPeterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics)Maurice G. Kendall
TypeDiagnostic accuracy evaluationNonparametric rank correlation
Opprinnelig kildeHanley, 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. DOI ↗Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93. DOI ↗
AliasROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysisKendall tau, Kendall rank correlation, tau-b, tau-c
Relaterte44
SammendragROC 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.
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ScholarGateSammenlign metoder: ROC analysis · Kendall's tau. Hentet 2026-06-18 fra https://scholargate.app/no/compare