Latent-variable models for longitudinal data with bivariate ordinal outcomes

Statistics in Medicine

Volumn 26, Issue 5, 2007, Pages 1034-1054

  Todem, David ^a   Kim, Kyung Mann ^b   Lesaffre, Emmanuel ^c  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^c UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Adaptive Gaussian quadrature; Bivariate ordinal outcome; Latent variable; Longitudinal clustered outcomes; Random effects

Indexed keywords

FLUVOXAMINE;

ARTICLE; BIVARIATE ANALYSIS; CLINICAL RESEARCH; CLINICAL TRIAL; CORRELATION COEFFICIENT; COVARIANCE; DATA ANALYSIS; DEPRESSION; DRUG EFFICACY; DRUG SAFETY; DRUG WITHDRAWAL; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; NORMAL DISTRIBUTION; OBSESSIVE COMPULSIVE DISORDER; OUTCOME ASSESSMENT; PANIC; PARAMETRIC TEST; POSTMARKETING SURVEILLANCE; STATISTICAL ANALYSIS; STATISTICAL MODEL; STRUCTURAL EQUATION MODELING; UNSPECIFIED SIDE EFFECT;

ANTIDEPRESSIVE AGENTS, SECOND-GENERATION; FLUVOXAMINE; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; NORMAL DISTRIBUTION; OUTCOME ASSESSMENT (HEALTH CARE); SAFETY;

EID: 33847114322     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2599     Document Type: Article

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