© 2003 by Biometrika Trust
A serially correlated gamma frailty model for longitudinal count data
1 Department of Mathematics and Statistics, Lancaster University, Lancaster LA1 4YF, U.Krobin.henderson{at}lancaster.ac.uk 2 Departamento de Estatística, Universidade Federal do Paraná, Cx.Postal 19081, 81531-990, Curitiba-PR, Brazil silvia.shimakura{at}est.ufpr.br
A Poisson-gamma model is introduced to account for between-subjects heterogeneity and within-subjects serial correlation occurring in longitudinal count data.The model extends the usual time-constant shared frailty approach to allow time-varying serially correlated gamma frailty whilst retaining standard marginal assumptions. A composite likelihood approach to estimation and testing for serial correlation is proposed. The work is motivated by a clinical trial on patient-controlled analgesia where the number of analgesic doses taken by hospital patients in successive time intervals following abdominal surgery is recorded.
Key Words: Composite likelihood; Multivariate gamma distribution; Patient-controlled analgesia; Recurrent event data
Received April 2001. Revised June 2002
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