Dr Lawson is Professor of Biostatistics in the Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, College of Medicine, MUSC and is an MUSC Distinguished Professor Emeritus and ASA Fellow. His PhD was in Spatial Statistics from the University of St. Andrews, UK.He has over 190 journal papers on the subject of spatial epidemiology, spatial statistics and related areas. In addition to a number of book chapters, he is the author of 10 books in areas related to spatial epidemiology and health surveillance. The most recent of these is Lawson, A.B. et al (eds) (2016) Handbook of Spatial Epidemiology. CRC Press, New York, and in 2018 a 3rd edition of Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology CRC Press. He has acted as an advisor in disease mapping and risk assessment for the World Health Organization (WHO) and is the founding editor of the Elsevier journal Spatial and Spatio-temporal Epidemiology. Dr Lawson has delivered many short courses in different locations over the last 20 years on Bayesian Disease Mapping with OpenBUGS, INLA, and Nimble, and more general spatial epidemiology topics.Web site: http://people.musc.edu/~abl6/

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• 1. Introduction and Data Sets2. R Graphics and Spatial Health Data3. Bayesian Hierarchical Models4. Computation5. Bayesian model Goodness of Fit Criteria6. Bayesian Disease Mapping ModelsPart I Basic Software Approaches7. BRugs/OpenBUGS8. Nimble9. CARBayes10. INLA and R-INLA11. Clustering, Latent Variable and Mixture Modeling12. Spatio-Temporal Modeling with MCMC13. Spatio-Temporal Modeling with INLAPart II Some Advanced and Special topics14. Multivariate Models15. Survival Modeling16. Missingness, Measurement Error and Variable Selection17. Individual Event Modeling18. Infectious Disease Modeling

Dr Lawson is Professor of Biostatistics in the Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, College of Medicine, MUSC and is an MUSC Distinguished Professor Emeritus and ASA Fellow. His PhD was in Spatial Statistics from the University of St. Andrews, UK.He has over 190 journal papers on the subject of spatial epidemiology, spatial statistics and related areas. In addition to a number of book chapters, he is the author of 10 books in areas related to spatial epidemiology and health surveillance. The most recent of these is Lawson, A.B. et al (eds) (2016) Handbook of Spatial Epidemiology. CRC Press, New York, and in 2018 a 3rd edition of Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology CRC Press. He has acted as an advisor in disease mapping and risk assessment for the World Health Organization (WHO) and is the founding editor of the Elsevier journal Spatial and Spatio-temporal Epidemiology. Dr Lawson has delivered many short courses in different locations over the last 20 years on Bayesian Disease Mapping with OpenBUGS, INLA, and Nimble, and more general spatial epidemiology topics.Web site: http://people.musc.edu/~abl6/

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• 1. Introduction and Data Sets2. R Graphics and Spatial Health Data3. Bayesian Hierarchical Models4. Computation5. Bayesian model Goodness of Fit Criteria6. Bayesian Disease Mapping ModelsPart I Basic Software Approaches7. BRugs/OpenBUGS8. Nimble9. CARBayes10. INLA and R-INLA11. Clustering, Latent Variable and Mixture Modeling12. Spatio-Temporal Modeling with MCMC13. Spatio-Temporal Modeling with INLAPart II Some Advanced and Special topics14. Multivariate Models15. Survival Modeling16. Missingness, Measurement Error and Variable Selection17. Individual Event Modeling18. Infectious Disease Modeling

Dr Lawson is Professor of Biostatistics in the Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, College of Medicine, MUSC and is an MUSC Distinguished Professor Emeritus and ASA Fellow. His PhD was in Spatial Statistics from the University of St. Andrews, UK.He has over 190 journal papers on the subject of spatial epidemiology, spatial statistics and related areas. In addition to a number of book chapters, he is the author of 10 books in areas related to spatial epidemiology and health surveillance. The most recent of these is Lawson, A.B. et al (eds) (2016) Handbook of Spatial Epidemiology. CRC Press, New York, and in 2018 a 3rd edition of Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology CRC Press. He has acted as an advisor in disease mapping and risk assessment for the World Health Organization (WHO) and is the founding editor of the Elsevier journal Spatial and Spatio-temporal Epidemiology. Dr Lawson has delivered many short courses in different locations over the last 20 years on Bayesian Disease Mapping with OpenBUGS, INLA, and Nimble, and more general spatial epidemiology topics.Web site: http://people.musc.edu/~abl6/

Select Guide Rating

• 1. Introduction and Data Sets2. R Graphics and Spatial Health Data3. Bayesian Hierarchical Models4. Computation5. Bayesian model Goodness of Fit Criteria6. Bayesian Disease Mapping ModelsPart I Basic Software Approaches7. BRugs/OpenBUGS8. Nimble9. CARBayes10. INLA and R-INLA11. Clustering, Latent Variable and Mixture Modeling12. Spatio-Temporal Modeling with MCMC13. Spatio-Temporal Modeling with INLAPart II Some Advanced and Special topics14. Multivariate Models15. Survival Modeling16. Missingness, Measurement Error and Variable Selection17. Individual Event Modeling18. Infectious Disease Modeling