Henderson, Robin; and Shimakura, Silvia (2003) A serially correlated gamma frailty model for longitudinal count data. Biometrika, 90 (2). pp. 355-366. ISSN 1464-3510Full text not available from this repository.
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.
|Journal or Publication Title:||Biometrika|
|Uncontrolled Keywords:||Composite likelihood ; Multivariate gamma distribution ; Patient-controlled analgesia ; Recurrent event data.|
|Subjects:||Q Science > QA Mathematics|
|Departments:||Faculty of Science and Technology > Mathematics and Statistics|
|Deposited By:||Mrs Yaling Zhang|
|Deposited On:||26 Jun 2008 13:50|
|Last Modified:||03 Nov 2015 13:36|
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