You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
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
You can always find the topics here!Topics: Mortality, Nitrates, Statistical models, Parametric models, Significance level, Spatial models, Statistics, Simulations, Stomach cancer, Biometrics
Were these topics helpful?See somethings inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
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