title: Spatial interaction between neighbouring counties: cancer mortality data in Valencia Spain.
abstract: 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.
authors.affiliation: Departamento de Estadística e I.O., Universitat de València, Burjassot, Spain.
authors.forename: J
authors.initials: J
authors.lastname: Ferrándiz
authors.forename: A
authors.initials: A
authors.lastname: López
authors.forename: A
authors.initials: A
authors.lastname: Llopis
authors.forename: M
authors.initials: M
authors.lastname: Morales
authors.forename: M L
authors.initials: ML
authors.lastname: Tejerizo
mesh_terms: D003110:Colonic Neoplasms / Q000401:mortality; D003710:Demography; D005308:Fertilizers / Q000009:adverse effects; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009369:Neoplasms / Q000401:mortality*; D009566:Nitrates / Q000009:adverse effects; D016012:Poisson Distribution; D011471:Prostatic Neoplasms / Q000401:mortality; D012044:Regression Analysis; D013030:Spain / Q000453:epidemiology; D013274:Stomach Neoplasms / Q000401:mortality; D001749:Urinary Bladder Neoplasms / Q000401:mortality
chemical_list: D005308:Fertilizers; D009566:Nitrates