Marginalized transition models and likelihood inference for longitudinal categorical data

Biometrics

Volumn 58, Issue 2, 2002, Pages 342-351

  Heagerty, Patrick J ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Marginal model; Markov chain; Maximum likelihood

Indexed keywords

DATA HANDLING; MARKOV PROCESSES; MAXIMUM LIKELIHOOD;

CATEGORICAL DATA; DEPENDENCE MODEL; GENERALIZED LINEAR MODEL; LONGITUDINAL DATA; MA XIMUM LIKELIHOODS; MARGINAL MODELS; MAXIMUM-LIKELIHOOD; SEMIPARAMETRIC INFERENCE; SERIAL DEPENDENCE; TRANSITION MODEL;

REGRESSION ANALYSIS;

DISEASE PREVALENCE; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; METHODOLOGY;

ARTICLE; LONGITUDINAL STUDY; PARAMETRIC TEST; PROBABILITY; REGRESSION ANALYSIS; STATISTICAL MODEL; BIOMETRY; HUMAN; SCHIZOPHRENIA; STATISTICAL ANALYSIS;

BIOMETRY; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; LONGITUDINAL STUDIES; MARKOV CHAINS; MODELS, STATISTICAL; REGRESSION ANALYSIS; SCHIZOPHRENIA;

EID: 0035989803     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2002.00342.x     Document Type: Article

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