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Volumn 64, Issue 2, 2008, Pages 538-545
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A general class of pattern mixture models for nonignorable dropout with many possible dropout times
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Author keywords
Bayesian model averaging; Incomplete data; Latent variable; Marginal model; Random effects
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Indexed keywords
BAYESIAN NETWORKS;
PROBABILITY DISTRIBUTIONS;
RANDOM VARIABLES;
BAYESIAN MODEL AVERAGING;
CLASS PATTERNS;
GENERAL CLASS;
INCOMPLETE DATA;
LATENT CLASS;
LATENT VARIABLE;
LONGITUDINAL DATA;
MARGINAL MODELS;
MIXTURE MODELING;
RANDOM EFFECTS;
RANDOM PROCESSES;
BAYESIAN ANALYSIS;
HUMAN IMMUNODEFICIENCY VIRUS;
MODELING;
WOMENS HEALTH;
ARTICLE;
BAYES THEOREM;
BIOMETRY;
MATHEMATICAL ANALYSIS;
MATHEMATICAL MODEL;
SCIENTIFIC LITERATURE;
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EID: 43749111782
PISSN: 0006341X
EISSN: 15410420
Source Type: Journal
DOI: 10.1111/j.1541-0420.2007.00884.x Document Type: Article |
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Times cited : (38)
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References (19)
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