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Journal of Geriatric Psychiatry and Neurology
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Receiver Operating Characteristic Analysis for Validating EEG Sleep Discrimination of Elderly Depressed and Demented Patients

Patricia R. Houck, MSH

Department of Psychiatry University of Pittsburgh School of Medicine

Charles F. Reynolds, MD

Department of Psychiatry University of Pittsburgh School of Medicine

Sati Mazumdar, PhD

Graduate School of Public Health University of Pittsburgh, Pittsburgh, PA

David J. Kupfer, MD

Department of Psychiatry University of Pittsburgh School of Medicine

Receiver operating characteristic analysis is a useful tool in validating a diagnostic marker. This technique was applied to a discriminant function model using selected electroencephalographic sleep measures (sleep maintenance, percentage of rapid-eye-movement sleep, and percentage of indeterminate non-rapid-eye-movement sleep) in elderly patients with major depression or dementia of the Alzheimer type. The diagnostic model correctly classified 79.8% of elderly depressed and demented patients. The area under the curve was 0.86, statistically different from 0.5, which would be expected by chance (P < .0001) and indicating good predictive power of the model. A logistic regression analysis demonstrated the reliability and stability of the diagnostic equation. (J Geriatr Psychiatry Neurol 1991;4:30-33).

Journal of Geriatric Psychiatry and Neurology, Vol. 4, No. 1, 30-33 (1991)
DOI: 10.1177/089198879100400106
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