Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model

Biometrics

Volumn 59, Issue 4, 2003, Pages 829-836

  Roy, Jason ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

HIV; Incomplete data; Latent variable; Missing data; Pattern mixture model; Repeated measures; Shared parameter model

Indexed keywords

MAXIMUM LIKELIHOOD; PARAMETER ESTIMATION;

HIV; INCOMPLETE DATA; LATENT VARIABLE; LONGITUDINAL DATA; MISSING DATA; MIXTURE MODELING; PARAMETER MODEL; PATTERN-MIXTURE MODEL; REPEATED MEASURES; SHARED-PARAMETER MODEL;

REGRESSION ANALYSIS;

CD4 ANTIGEN;

MODEL;

ARTICLE; DATA ANALYSIS; ETHNIC GROUP; FEMALE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTRAVENOUS DRUG ABUSE; LEUKOCYTE COUNT; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; PROBABILITY; REGRESSION ANALYSIS; SAMPLING; STATISTICAL MODEL; STATISTICAL PARAMETERS; STRESS; SYMPTOMATOLOGY; VIRUS INFECTION;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 0346733311     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2003.00097.x     Document Type: Article

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