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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 | Source: | 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. | Keywords: | marginal multilevel model; maximum likelihood estimation; random effects model; negative binomial; overdispersion; partial Marginalization; poisson model; zero-inflation | Document URI: | http://hdl.handle.net/1942/16486 | Link to publication/dataset: | http://siba-ese.unisalento.it/index.php/ejasa/article/view/12145/11925 | ISSN: | 2070-5948 | e-ISSN: | 2070-5948 | DOI: | 10.1285/i20705948v6n2p149 | Rights: | © Università del Salento | Category: | A1 | Type: | Journal Contribution | Validations: | vabb 2016 |
Appears in Collections: | Research publications |
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12145-115415-2-PB (1).pdf | Published version | 445.6 kB | Adobe PDF | View/Open |
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