Announcement: a multi-day Course Sequence for 2020
Introduction to Bayesian Disease Mapping (IBDM) Bayesian Disease Mapping with INLA (BDMI) Advanced Bayesian Disease Mapping (ABDM)
**Offering of Introductory and Advanced BDM courses and BDM with INLA in MUSC, Charleston, SC, USA**
Historic Charleston, South Carolina
*Course content*
These courses are designed to provide a comprehensive introduction to the area of Bayesian disease mapping in applications to Public Health and Epidemiology:
The IBDM course will run on March 9th - 10th, the BDMI course will run on March 11th and the ABDM course will run on March 12th - 13th 2020.
The BDMI course provides a hands-on introduction to spatial health modeling with INLA, while more advanced INLA examples are included in the ABDM course.
Both spatial and spatio-temporal analyses using WinBUGS, INLA, CARBayes and Nimble will be considered.
Examples will range over childhood asthma data from Georgia, influenza in South Carolina, foot-and-mouth disease in the UK and Ohio respiratory cancer.
*The speaker*
Professor Andrew B. Lawson (Department of Public Health Sciences, College of Medicine, Medical University of South Carolina) is a World Health Organization (WHO) advisor
on Disease Mapping and organized with the WHO an International workshop on this topic which has led to an edited volume "Disease Mapping and Risk Assessment for Public Health".
He is a Distinguished University Professor and has published a number of books focused on disease mapping and spatial epidemiology.
Most recently he was chief editor of the CRC Press Handbook of Spatial Epidemiology (2016).
The 2018 3rd Edition of the volume *Bayesian Disease Mapping* will be a course text for the IBDM course, and is included in the IBDM course fee.
*REGISTRATION INFORMATION*
Detailed information and registration form is available from
http://people.musc.edu/~abl6/march2020.pdf
Phone registration to:
Department of Public Health Sciences
(843) 876-1578
Fax registration form to:
Department of Public Health Sciences
(843) 792-6000
Booking Enquiries can be made by
E-mail to Paula Talbot at [log in to unmask]<mailto:[log in to unmask]>
Professor Andrew B Lawson
Division of Biostatistics and Bioinformatics
Department of Public Health Sciences
Medical University of South Carolina Charleston
29425
South Carolina
USA
ph: 843-876-1865
new 3rd edition of BDM book:
http://www.crcpress.com/9781138575424
Handbook of Spatial Epidemiology:
http://www.crcpress.com/9781482253016
GitHub repositories:
https://github.com/Andrew9Lawson/Bayesian-DM-code-examples
https://github.com/Andrew9Lawson/Bayesian_DM_Nimble_code
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