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http://hdl.handle.net/1942/13798
Title: | Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutions | Authors: | MILANZI, Elasma ALONSO ABAD, Ariel MOLENBERGHS, Geert |
Issue Date: | 2012 | Publisher: | WILEY-BLACKWELL | Source: | STATISTICS IN MEDICINE, 31 (14), p. 1475-1482 | Abstract: | Poisson data frequently exhibit overdispersion; and, for univariate models, many options exist to circumvent this problem. Nonetheless, in complex scenarios, for example, in longitudinal studies, accounting for overdispersion is a more challenging task. Recently, Molenberghs et.al, presented a model that accounts for overdispersion by combining two sets of random effects. However, introducing a new set of random effects implies additional distributional assumptions for intrinsically unobservable variables, which has not been considered before. Using the combined model as a framework, we explored the impact of ignoring overdispersion in complex longitudinal settings via simulations. Furthermore, we evaluated the effect of misspecifying the random-effects distribution on both the combined model and the classical Poisson hierarchical model. Our results indicate that even though inferences may be affected by ignored overdispersion, the combined model is a promising tool in this scenario. Copyright (C) 2012 John Wiley & Sons, Ltd. | Notes: | [Milanzi, Elasma; Molenberghs, Geert] Univ Hasselt, I BioStat, B-3590 Diepenbeek, Belgium. [Alonso, Ariel] Maastricht Univ, Dept Methodol & Stat, Maastricht, Netherlands. [Molenberghs, Geert] Katholieke Univ Leuven, I BioStat, B-3000 Louvain, Belgium. | Keywords: | Mathematical & Computational Biology; Public, Environmental & Occupational Health; Medical Informatics; Medicine, Research & Experimental; Statistics & Probability; Poisson-normal model; overdispersion; hierarchical; combined model; Type I error;Poisson-normal model; overdispersion; hierachical; combined model; Type I error | Document URI: | http://hdl.handle.net/1942/13798 | ISSN: | 0277-6715 | e-ISSN: | 1097-0258 | DOI: | 10.1002/sim.4482 | ISI #: | 000304906800006 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2013 |
Appears in Collections: | Research publications |
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milanzi1.pdf Restricted Access | Published version | 120.63 kB | Adobe PDF | View/Open Request a copy |
a.pdf | Peer-reviewed author version | 235.23 kB | Adobe PDF | View/Open |
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