Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/84717

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
dc.contributor.author	Casals, Martí
dc.contributor.author	Langohr, Klaus
dc.contributor.author	Carrasco, Josep Lluís
dc.contributor.author	Rönnegård, Lars
dc.date	2015-12
dc.identifier.citation	Casals, M., Langohr, K., Carrasco, J., Rönnegård, L. Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study. "SORT: statistics and operations research transactions", Desembre 2015, vol. 39, núm. 2, p. 281-308.
dc.identifier.citation	1696-2281
dc.identifier.uri	http://hdl.handle.net/2117/84717
dc.language.iso	eng
dc.publisher	Institut d'Estadística de Catalunya
dc.relation	http://www.idescat.cat/sort/
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Simulació
dc.subject	Operations research
dc.subject	Estimation methods
dc.subject	overdispersion
dc.subject	Poisson generalized linear mixed models
dc.subject	simu- lation study
dc.subject	statistical principles
dc.subject	sport injuries
dc.subject	Investigació operativa
dc.subject	Classificació AMS::90 Operations research, mathematical programming::90B Operations research and management science
dc.title	Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	Generalized linear mixed models are flexible tools for modeling non-normal data and are useful for accommodating overdispersion in Poisson regression models with random effects. Their main difficulty resides in the parameter estimation because there is no analytic solution for the maximization of the marginal likelihood. Many methods have been proposed for this purpose and many of them are implemented in software packages. The purpose of this study is to compare the performance of three different statistical principles -Marginal likelihood, Extended likelihood, Bayesian analysis- in R via simulation studies. Real data on contact wrestling are used for illustration.
dc.description.abstract	Peer Reviewed

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