title: Spatial correlation in ecological analysis.
abstract: This paper presents a statistical approach, originally developed for mapping disease risk, to ecological regression analysis in the presence of spatial autocorrelated extra-Poisson variation. An insight into the effect of allowing for spatial autocorrelation on the relationship between disease rates and explanatory variables is given. Examples based on cancer frequency in Scotland and Sardinia are used to illustrate the interpretation of regression coefficient and further methodological issues.
authors.affiliation: Medical Research Council Biostatistics Unit, University Forvie Site, Cambridge, UK.
authors.forename: D G
authors.initials: DG
authors.lastname: Clayton
authors.forename: L
authors.initials: L
authors.lastname: Bernardinelli
authors.forename: C
authors.initials: C
authors.lastname: Montomoli
mesh_terms: D000704:Analysis of Variance; D015982:Bias; D015986:Confounding Factors, Epidemiologic; D005260:Female; D006801:Humans; D007558:Italy / Q000453:epidemiology; D008048:Lip Neoplasms / Q000453:epidemiology*; D008175:Lung Neoplasms / Q000401:mortality*; D008297:Male; D015233:Models, Statistical; D012044:Regression Analysis; D012307:Risk Factors; D012606:Scotland / Q000453:epidemiology