Watch Andrew Lawson, author of Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology speak at the JSM2011.
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 authorâ€™s website