Modelling heterogeneity in clustered count data with extra zeros using compound Poisson random effect

Statistics in Medicine

Volumn 28, Issue 18, 2009, Pages 2356-2369

  Ma, Renjun ^a   Hasan, M Tariqul ^a   Sneddon, Gary ^b  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

^b MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

Longitudinal data; Poisson mixed models; Quasi likelihood; Repeated measures; Zero inflated

Indexed keywords

AGE; ARTICLE; CALCULATION; CHRONIC DISEASE; CLUSTER ANALYSIS; COVARIANCE; DATA ANALYSIS; EDUCATIONAL STATUS; HEALTH CARE UTILIZATION; MATHEMATICAL COMPUTING; MATHEMATICAL VARIABLE; MEASUREMENT ERROR; POISSON DISTRIBUTION; PROBABILITY; PROCESS MODEL; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SEX DIFFERENCE; STATISTICAL MODEL; STRUCTURAL EQUATION MODELING; SURVIVAL; VARIANCE;

BIOMETRY; CLUSTER ANALYSIS; DELIVERY OF HEALTH CARE; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MALE; MODELS, STATISTICAL; POISSON DISTRIBUTION; REGRESSION ANALYSIS;

EID: 69949107663     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3619     Document Type: Article

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