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

  • Donald W. Black
  • Rise B. Goldstein
  • Amelia Nasrallah
  • George Winokur
Original Articles


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.

Key words

Depression Electroconvulsive therapy Dysthymia Personality disorder Anxiety disorder 


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Copyright information

© Springer-Verlag 1991

Authors and Affiliations

  • Donald W. Black
    • 1
  • Rise B. Goldstein
    • 1
  • Amelia Nasrallah
    • 1
  • George Winokur
    • 1
  1. 1.Department of PsychiatryUniversity of Iowa College of MedicineIowa CityUSA

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