A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area.
Stat Med
; 15(11): 1199-215, 1996 Jun 15.
Article
en En
| MEDLINE
| ID: mdl-8804148
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.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Valor Predictivo de las Pruebas
/
Curva ROC
/
Estadísticas no Paramétricas
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Stat Med
Año:
1996
Tipo del documento:
Article
País de afiliación:
Estados Unidos