Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
Author:   Andrew B. Lawson
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367490126


Pages:   284
Publication Date:   29 April 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling


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Full Product Details

Author:   Andrew B. Lawson
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.557kg
ISBN:  

9780367490126


ISBN 10:   0367490129
Pages:   284
Publication Date:   29 April 2021
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

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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