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Spatial Interaction between Neighbouring Counties: Cancer Mortality Data in Valencia (Spain)
Juan Ferrandiz, Antonio Lopez, Agustin Llopis, Maria Morales and Maria Luisa Tejerizo
Vol. 51, No. 2 (Jun., 1995), pp. 665-678
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2532953
Page Count: 14
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The statistical analysis of geographical mortality data has usually been approached via regression models that include appropriate covariates. These models assume stochastic independence of mortality counts for neighbouring sites, a questionable assumption that spatial automodels (Besag, 1974, Journal of the Royal Statistical Society, Series B 36, 192-236) make unnecessary. This paper presents the use of the autopoisson distribution in order to detect spatial interaction between neighbouring sites. If this interaction results in being nonsignificant, the auto-Poisson distribution reduces to a usual Poisson regression model, a particular case of generalized linear models (McCullagh and Nelder, 1989, Generalized Linear Models, 2nd edition. London: Chapman and Hall) which can be analyzed with the GLIM package.
Biometrics © 1995 International Biometric Society