A Bayesian model for longitudinal count data with non-ignorable dropout

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 57, Issue 5, 2008, Pages 521-534

  Kaciroti, Niko A ^a   Raghunathan, Trivellore E ^a   Schork, Anthony M ^a   Clark, Noreen M ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Gibbs sampling; Longitudinal data; Non linear mixed effects models; Poisson outcomes; Randomized trials; Transition Markov models

Indexed keywords

EID: 52049092052     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/j.1467-9876.2008.00628.x     Document Type: Article

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