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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/17792

Title: A zero-inflated and overdispersed marginalized model for correlated Poisson data
Authors: Iddi, Samuel
Molenberghs, Geert
Issue Date: 2013
Citation: Muggeo, Vito M.R.; Capursi, Vincenza; Boscaino, Giovanni; Lovison, Gianfranco (Ed.) Proceedings of the 28th International Workshop on Statistical Modelling, p. 641-644.
Abstract: Iddi and Molenberghs (2012) merged the attractive features of the so-called combined model of Molenberghs et al (2010) and the marginalized model of Heagerty (1999) for hierarchical non-Gaussian data with overdispersion. In this model, the fixed-effect parameters retain their marginal interpretation. Lee et al (2011) also developed an extension of Heagerty (1999) to handle zero-inflation from count data, using the hurdle model. To bring together all of these features, a marginalized, zero-inflated, overdispersed model for correlated count data is proposed. Using an empirical dataset, it is shown that the proposed model leads to important improvements in model fit.
Notes: E-mail for correspondence: Samuel.Iddi@med.kuleuven.be
URI: http://hdl.handle.net/1942/17792
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

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