Using population attributable risk to understand geographic disease clusters

This paper describes the use of population attributable risk percent (PAR%) in the study of morbidity and mortality clusters, and in particular, shows how this method of risk characterization can usefully distinguish between multiple geographic clusters of potential interest. Incident lung cancer data in persons 60 years and over from the province of Ontario, Canada, are analyzed for spatial clusters, and each cluster is characterized in terms …