title: A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area.
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.
authors.affiliation: Biomedical Engineering Program, California State University, Sacramento, Sacramento 95819-6019, USA.
authors.forename: W D
authors.initials: WD
authors.lastname: Smith
authors.forename: R C
authors.initials: RC
authors.lastname: Dutton
authors.forename: N T
authors.initials: NT
authors.lastname: Smith
mesh_terms: D000758:Anesthesia; D000777:Anesthetics / Q000097:blood; D003243:Consciousness / Q000502:physiology; D003626:Data Display; D003627:Data Interpretation, Statistical; D005072:Evoked Potentials, Auditory; D006801:Humans; D011237:Predictive Value of Tests; D012372:ROC Curve; D015203:Reproducibility of Results; D018709:Statistics, Nonparametric
chemical_list: D000777:Anesthetics