Mixed-effects models for mental health services research

Health Services and Outcomes Research Methodology

Volumn 1, Issue 2, 2000, Pages 91-129

  Gibbons, R D ^a  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Clustered data; Health services research; Hierarchical general linear model; Logistic regression; Longitudinal data; Mixed effects models; Multivariate probit

Indexed keywords

IMIPRAMINE; PLACEBO;

ARTICLE; BAYES THEOREM; BEHAVIOR; BEHAVIOR THERAPY; COGNITIVE THERAPY; CONTROLLED STUDY; DATA ANALYSIS; DEPRESSION; FACTORIAL ANALYSIS; HEALTH CARE UTILIZATION; HUMAN; LAW; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MEDICAL RESEARCH; MENTAL HEALTH SERVICE; MULTIVARIATE ANALYSIS; OUTCOMES RESEARCH; PARAMETER; POPULATION; PRIORITY JOURNAL; PROSPECTIVE STUDY; PSYCHOTHERAPY; QUALITY OF LIFE; REGRESSION ANALYSIS; SAMPLING; STAGING; STATISTICAL MODEL; WELLBEING;

EID: 0034431911     PISSN: 13873741     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1010018505011     Document Type: Article

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