The prediction of recovery using a multivariate model in 1471 depressed inpatients
- Cite this article as:
- Black, D.W., Goldstein, R.B., Nasrallah, A. et al. Eur Arch Psychiatry Clin Nuerosci (1991) 241: 41. doi:10.1007/BF02193753
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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.