Combining correlated diagnostic tests: application to neuropathologic diagnosis of Alzheimer's disease.
Med Decis Making
; 24(6): 659-69, 2004.
Article
em En
| MEDLINE
| ID: mdl-15534346
ABSTRACT
This article studies the problem of combining correlated diagnostic tests to maximize the discriminating power between the diseased population and the healthy population. The authors consider all possible linear combinations of multiple diagnostic tests and search for the one that achieves the largest area under the receiver operating characteristic (ROC) curve. They discuss the statistical estimation of the optimum linear combination test and the associated maximum area under the ROC curve. Their approach is based on the assumption of multivariate normal distribution of the multiple diagnostic tests. They also present the application of the proposed techniques to the neuropathologic diagnosis of Alzheimer's disease based on brain lesions from 5 different brain locations using a data set from the Washington University Alzheimer's Disease Research Center.
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Base de dados:
MEDLINE
Assunto principal:
Curva ROC
/
Técnicas de Diagnóstico Neurológico
/
Doença de Alzheimer
Tipo de estudo:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2004
Tipo de documento:
Article