Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Analiza ROC (Caracteristica Operativă a Receptorului)× | Corelația rangurilor Tau a lui Kendall× | |
|---|---|---|
| Domeniu | Statistică | Statistică |
| Familie | Hypothesis test | Hypothesis test |
| Anul apariției≠ | 1954 (signal detection); 1982 (AUC formalization) | 1938 |
| Autorul original≠ | Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics) | Maurice G. Kendall |
| Tip≠ | Diagnostic accuracy evaluation | Nonparametric rank correlation |
| Sursa seminală≠ | 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. DOI ↗ | Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1/2), 81–93. DOI ↗ |
| Denumiri alternative | ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis | Kendall tau, Kendall rank correlation, tau-b, tau-c |
| Înrudite | 4 | 4 |
| Rezumat≠ | 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. |
| ScholarGateSet de date ↗ |
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