Disease Mapping and Regression with Count Data in the Presence of Overdispersion and Spatial Autocorrelation: A Bayesian Model Averaging Approach

This paper applies the generalised linear model for modelling geographical variation to esophageal cancer incidence data in the Caspian region of Iran. The data have a complex and hierarchical structure that makes them suitable for hierarchical analysis using Bayesian techniques, but with care requi...

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Detalles Bibliográficos
Autores principales: Mohebbi, Mohammadreza, Wolfe, Rory, Forbes, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3924480/
https://www.ncbi.nlm.nih.gov/pubmed/24413702
http://dx.doi.org/10.3390/ijerph110100883

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3924480/
https://www.ncbi.nlm.nih.gov/pubmed/24413702
http://dx.doi.org/10.3390/ijerph110100883

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