The predictive power of subgroups: An empirical approach to identify depressive symptom patterns that predict response to treatment

Journal of Affective Disorders

Volumn 163, Issue , 2014, Pages 81-87

  Bühler, Joël ^a   Seemüller, Florian ^b,c   Läge, Damian ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^c Kbo Lech Mangfall Klinik   (Germany)

Author keywords

Depression; Efficacy; Subtypes of depression

Indexed keywords

AMITRIPTYLINE; CITALOPRAM; DOXEPIN; MIRTAZAPINE; PAROXETINE; REBOXETINE; SERTRALINE; TRANYLCYPROMINE; TRIMIPRAMINE; VENLAFAXINE;

ADULT; AGED; ANALYTIC METHOD; ARTICLE; ATYPICAL DEPRESSION; COGNITIVE THERAPY; CONTROLLED STUDY; DEPRESSION; DSM-IV; ELECTROCONVULSIVE THERAPY; EMPIRICAL RESEARCH; FEMALE; HAMILTON SCALE; HUMAN; ICD-10; LATENT CLASS ANALYSIS; LENGTH OF STAY; LINEAR MIXED EFFECTS MODEL; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; MONOTHERAPY; MULTICENTER STUDY; MUSIC THERAPY; OCCUPATIONAL THERAPY; PHOTOTHERAPY; PHYSIOTHERAPY; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; TREATMENT RESPONSE;

DEPRESSION; EFFICACY; SUBTYPES OF DEPRESSION;

ADULT; ANTIDEPRESSIVE AGENTS; DEPRESSIVE DISORDER, MAJOR; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, PSYCHOLOGICAL; PROSPECTIVE STUDIES; TREATMENT OUTCOME;

EID: 84899815075     PISSN: 01650327     EISSN: 15732517     Source Type: Journal    
DOI: 10.1016/j.jad.2014.03.053     Document Type: Article

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