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 | Source: | 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 | Keywords: | marginal multilevel model; maximum likelihood estimation; random effects model; negative binomial; overdispersion; Poisson model; zero-inflation | Document URI: | http://hdl.handle.net/1942/17792 | Category: | C2 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
iwsm2013_proceedings-659-662.pdf | 428.25 kB | Adobe PDF | View/Open |
Page view(s)
48
checked on Oct 30, 2023
Download(s)
10
checked on Oct 30, 2023
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.