The prediction of recovery using a multivariate model in 1471 depressed inpatients

ArticleinEuropean Archives of Psychiatry and Clinical Neuroscience 241(1):41-5 · February 1991with2 Reads
Impact Factor: 3.53 · DOI: 10.1007/BF02193753 · Source: PubMed

    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.