Spatial correlation in ecological analysis.

D G Clayton; L Bernardinelli; C Montomoli

doi:10.1093/ije/22.6.1193

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Spatial correlation in ecological analysis.

D G Clayton·L Bernardinelli·C Montomoli

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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.

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Analysis of Variance Bias Confounding Factors, Epidemiologic Female Humans Italy Lip Neoplasms Lung Neoplasms Male Models, Statistical Regression Analysis Risk Factors Scotland Comparative Study Journal Article Research Support, Non-U.S. Gov't

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D G Clayton, L Bernardinelli, C Montomoli. 1993. Spatial correlation in ecological analysis.. https://doi.org/10.1093/ije%2F22.6.1193

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