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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16486

Title: A marginalized model for zero-inflated, overdispersed and correlated count data
Authors: Molenberghs, Geert
Iddi, Samuel
Issue Date: 2013
Citation: Electronic Journal of Applied Statistical Analysis, 6 (2), p. 149-165
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 two empirical sets of data, it is shown that the proposed model leads to important improvements in model fit.
URI: http://hdl.handle.net/1942/16486
DOI: 10.1285/i20705948v6n2p149
ISSN: 2070-5948
Category: A1
Type: Journal Contribution
Validation: vabb, 2016
Appears in Collections: Research publications

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