Watch Andrew Lawson, author of Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology speak at the JSM2011. Features Shows how to apply Bayesian hierarchical modeling to geographical analyses of disease Deals with both population and individual analyses resulting from cancer registry data Discusses the survival and longitudinal analyses of data in health services and designed studies Covers standard topics, such as relative risk estimation and clustering Uses a range of actual data sets to illustrate concepts Provides the data sets, WinBUGS ODC files, and R code on the author’s website