A simulation-based marginal method for longitudinal data with dropout and mismeasured covariates

Biostatistics

Volumn 9, Issue 3, 2008, Pages 501-512

  Yi, Grace Y ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Estimating equations; Longitudinal data; Measurement error; Missing data; Simulation and extrapolation method

Indexed keywords

CHOLESTEROL;

AGE DISTRIBUTION; ALGORITHM; ARTICLE; ARTIFACT; BIOMETRY; BLOOD PRESSURE; COMPUTER SIMULATION; EPIDEMIOLOGY; HUMAN; LONGITUDINAL STUDY; METABOLISM; METHODOLOGY; OBESITY; OBSERVER VARIATION; PATHOPHYSIOLOGY; PATIENT; PREDICTION AND FORECASTING; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL DISTRIBUTION; STATISTICS;

AGE DISTRIBUTION; ALGORITHMS; ARTIFACTS; BIOMETRY; BLOOD PRESSURE; CHOLESTEROL; COMPUTER SIMULATION; CONFOUNDING FACTORS (EPIDEMIOLOGY); HUMANS; LONGITUDINAL STUDIES; OBESITY; OBSERVER VARIATION; PATIENT DROPOUTS; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; RESEARCH DESIGN; SAMPLE SIZE; STATISTICAL DISTRIBUTIONS;

EID: 45849102320     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxm054     Document Type: Article

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