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A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area
Journal article   Peer reviewed

A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area

W D Smith, R C Dutton and N T Smith
Statistics in medicine, Vol.15(11), pp.1199-1215
06/15/1996
DOI: https://doi.org/10.1002/(SICI)1097-0258(19960615)15:11<1199::AID-SIM218>3.0.CO;2-Y
Handle:
https://hdl.handle.net/20.500.12741/rep:5296
PMID: 8804148

Abstract

Predictive Value of Tests Data Interpretation, Statistical Reproducibility of Results Anesthetics - blood Humans Statistics, Nonparametric Anesthesia ROC Curve Consciousness - physiology Data Display Evoked Potentials, Auditory
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.

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