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

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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Bibliographic Details
Main Authors: Mohammadreza Mohebbi, Rory Wolfe, Andrew Forbes
Format: Article
Language:English
Published: MDPI AG 2014-01-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Bayesian variable selection
cancer
disease mapping
ecologic studies
Gibbs sampling
spatial epidemiology
Online Access:http://www.mdpi.com/1660-4601/11/1/883

Internet

http://www.mdpi.com/1660-4601/11/1/883

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