title: The prediction of recovery using a multivariate model in 1471 depressed inpatients.
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.
authors.affiliation: Department of Psychiatry, University of Iowa College of Medicine, Iowa City 52242.
authors.forename: D W
authors.initials: DW
authors.lastname: Black
authors.forename: R B
authors.initials: RB
authors.lastname: Goldstein
authors.forename: A
authors.initials: A
authors.lastname: Nasrallah
authors.forename: G
authors.initials: G
authors.lastname: Winokur
mesh_terms: D000328:Adult; D000928:Antidepressive Agents / Q000627:therapeutic use*; D001714:Bipolar Disorder / Q000523:psychology / Q000628:therapy*; D002908:Chronic Disease; D003866:Depressive Disorder / Q000523:psychology / Q000628:therapy*; D004565:Electroconvulsive Therapy; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010554:Personality Disorders / Q000523:psychology / Q000628:therapy; D011569:Psychiatric Status Rating Scales; D012307:Risk Factors
chemical_list: D000928:Antidepressive Agents