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The prediction of recovery using a multivariate model in 1471 depressed inpatients
D W Black1, R B Goldstein, A Nasrallah
1Department of Psychiatry, University of Iowa College of Medicine, Iowa City 52242.
European Archives of Psychiatry and Clinical Neuroscience
|January 1, 1991
Abstract:
Stepwise multiple logistic regression was used in an attempt to develop a statistical model which would predict "recovery" in a group of 1471 depressives admitted to a tertiary care hospital. Six variables identified by this approach included: Electroconvulsive therapy, personality disorder, chronicity, anxiety disorder, organic mental disorder, and dysthymia. The meaning and significance of the findings are discussed.