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The study of the geographical distribution of disease has expanded greatly with GIS technology and its application to increasingly available public health data. The emergence of this technology has increased the challenges for public health practitioners to provide meaningful interpretations for county-based state cancer maps.

A nonparametric approach for determining significance of county cancer rates compared to the overall state rate: illustrated with Minnesota data