1. Introduction and Data Sets
2. R Graphics and Spatial Health Data
3. Bayesian Hierarchical Models
4. Computation
5. Bayesian model Goodness of Fit Criteria
6. Bayesian Disease Mapping Models

Part I Basic Software Approaches

7. BRugs/OpenBUGS
8. Nimble
9. CARBayes
10. INLA and R-INLA
11. Clustering, Latent Variable and Mixture Modeling
12. Spatio-Temporal Modeling with MCMC
13. Spatio-Temporal Modeling with INLA

Part II Some Advanced and Special topics

14. Multivariate Models
15. Survival Modeling
16. Missingness, Measurement Error and Variable Selection
17. Individual Event Modeling
18. Infectious Disease Modeling