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Abstract:
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Bayesian disease mapping methodology has seen enormous developments in the past decade. Statistical models and methods of inference have been developed to facilitate univariate, multivariate, and spatiotemporal disease and health outcome analysis and mapping. The intent of this roundtable is to provide a venue for statisticians working on disease mapping to come together and share their reflections and thoughts on this very active area of research, both in terms of the methodological developments and their timely applications in health science and environmental studies, such as cancer and disease epidemiology, health services utilization and outcome evaluation, and population and public health risk assessment, to name a few. It is hoped that statisticians who are experienced or new to disease mapping will find this a worthwhile gathering of both informal and engaged discussions.
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