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Announcing a Two-Day Course Sequence: Introduction to Bayesian Disease Mapping (IBDM) Advanced Bayesian Disease Mapping(ABDM) **Offering of both Introductory and Advanced BDM courses in MUSC, Charleston, SC, USA** March 18 - 19th , and 21st - 22nd 2013 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 18th -- 19th and the ABDM course will run on March 21st -- 22nd 2013. (There will also be a half day open revision tutorial Wednesday 20th in the PM.) Both spatial and spatio-temporal analyses using WinBUGS and INLA 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 (Division of Biostatistics & Epidemiology, 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 has published a number of books focused on disease mapping and spatial epidemiology. In particular, the 2nd 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://academicdepartments.musc.edu/dbe/BDM/bdmfiles/IBDM ABDM flier for MARCH 2013.pdf <http://academicdepartments.musc.edu/dbe/BDM/bdmfiles/IBDM%20ABDM%20flier%20for%20MARCH%202013.pdf> Phone registration to: Division of Biostatistics & Epidemiology (843) 876-1578 Fax registration form to: Division of Biostatistics & Epidemiology (843) 792-6000 Booking Enquiries can be made by E-mail to June Watson at [log in to unmask] You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.