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A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area
W D Smith1, R C Dutton, N T Smith
1Biomedical Engineering Program, California State University, Sacramento, Sacramento 95819-6019, USA.
Statistics in Medicine
|June 15, 1996
Abstract:
There is a need for a measure of prediction accuracy that generalizes non-parametric receiver operating characteristic (ROC) area to polytomous ordinal patient state. We describe such a measure, prediction probability PK derived from Kim's measure of association. We show that the value of PK equals the value of non-parametric ROC area for dichotomous patient state and is a meaningful generalization of non-parametric ROC area for polytomous state.