השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח ROC (Receiver Operating Characteristic)× | מתאם דרגות טאו של קנדל× | |
|---|---|---|
| תחום | סטטיסטיקה | סטטיסטיקה |
| משפחה | Hypothesis test | Hypothesis test |
| שנת המקור≠ | 1954 (signal detection); 1982 (AUC formalization) | 1938 |
| הוגה השיטה≠ | Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics) | Maurice G. Kendall |
| סוג≠ | Diagnostic accuracy evaluation | Nonparametric rank correlation |
| מקור מכונן≠ | 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 ↗ |
| כינויים | ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis | Kendall tau, Kendall rank correlation, tau-b, tau-c |
| קשורות | 4 | 4 |
| תקציר≠ | 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. |
| ScholarGateמערך נתונים ↗ |
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