A Bayesian analysis of mixture structural equation models with non-ignorable missing responses and covariates

Statistics in Medicine

Volumn 29, Issue 18, 2010, Pages 1861-1874

  Cai, Jing Heng ^a   Song, Xin Yuan ^b   Hser, Yih Ing ^c  

^a SUN YAT SEN UNIVERSITY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

MCMC method; Mixture structural equation model; Model selection; Modified DIC; Non ignorable missing responses and covariates

Indexed keywords

ARTICLE; BAYESIAN LEARNING; BEHAVIORAL MEDICINE; BIOMEDICINE; MULTIPLE DRUG ABUSE; SIMULATION; SOCIAL PSYCHOLOGY; STATISTICAL ANALYSIS; STRUCTURAL EQUATION MODELING;

ALGORITHMS; BAYES THEOREM; BEHAVIORAL MEDICINE; BIAS (EPIDEMIOLOGY); BIOMEDICAL RESEARCH; MODELS, STATISTICAL;

EID: 77955367566     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3915     Document Type: Article

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