Geographically weighted Poisson regression for disease association mapping
نویسندگان
چکیده
منابع مشابه
Geographically weighted Poisson regression for disease association mapping.
This paper describes geographically weighted Poisson regression (GWPR) and its semi-parametric variant as a new statistical tool for analysing disease maps arising from spatially non-stationary processes. The method is a type of conditional kernel regression which uses a spatial weighting function to estimate spatial variations in Poisson regression parameters. It enables us to draw surfaces of...
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ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2005
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.2129