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

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Summary

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.

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Black, D.W., Goldstein, R.B., Nasrallah, A. et al. The prediction of recovery using a multivariate model in 1471 depressed inpatients. Eur Arch Psychiatry Clin Nuerosci 241, 41–45 (1991). https://doi.org/10.1007/BF02193753

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  • DOI: https://doi.org/10.1007/BF02193753

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