Smooth-car Mixed Models for Spatial Count Data Articles
Overview
published in
publication date
- January 2009
start page
- 2968
end page
- 2979
issue
- 8
volume
- 53
Digital Object Identifier (DOI)
International Standard Serial Number (ISSN)
- 0167-9473
Electronic International Standard Serial Number (EISSN)
- 1872-7352
abstract
- Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure. First, a model where the spatial variation is modelled by a two-dimensional P-spline at the centroids of the areas or regions is considered. In addition, individual area-effects are incorporated as random effects to account for individual variation among regions. Finally, the model is extended by considering a conditional autoregressive (CAR) structure for the random effects, these are the so called "Smooth-CAR" models, with the aim of separating the large-scale geographical trend, and local spatial correlation. The methodology proposed is applied to the analysis of lip cancer incidence rates in Scotland.