Just a few places remain for this hybrid workshop
offering where both in-person and online participation is possible.
** A online low student rate is also now available.
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
Parts I, II
June 1st – 2nd 2023
COURSE CONTENT
These courses are designed to provide a comprehensive introduction to the area of Bayesian disease mapping using R in applications to Public Health and Epidemiology: Part I will run on June 1st and Part II on June 2nd, 2023
THE SPEAKER
Andrew B. Lawson (Department of Public Health Sciences, College of Medicine, Medical University of South Carolina) is a MUSC Distinguished Professor Emeritus and a World Health Organization (WHO) advisor on Disease Mapping and organized with WHO an international workshop on this topic which has led to an edited volume "Disease Mapping and Risk Assessment for Public Health".
He recently acted as chief editor of the CRC Handbook of Spatial Epidemiology (2016).
He has published a number of books focused on disease mapping and spatial epidemiology. In particular, the 3rd edition of the book: Lawson, A. B. Bayesian Disease Mapping CRC Press, appeared in 2018.
The recent addition:
Lawson, A. B. (2021) Using R for Bayesian Spatial and Spatio-Temporal Health Modeling. CRC Press.
will be a course text for the workshop. A copy of this book is included in the fee for the in-person course. A e-book version is included in the online registration.
COURSE FEE AND REQUIREMENTS
Booking of the two-day course sequence is $1000.
**Early Bird rate of $600 before May 20th**
Online registration:
full course: $500
New student rate (With proof of status): $250
A variety of R packages will be used in the workshop. The main R packages used will be BRugs, Nimble, CARBayes, and INLA. The graphics libraries maptools, sp, spdep, sf, tmap, and ggplot2 will also be used.
Registration queries can be made with Paula Talbot (talbotp@musc.edu).
Technical queries can be made to Andrew Lawson (lawsonab@musc.edu)
Registration form at :
Bayesian Workshop 2023
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| Bayesian Workshop 2023 |
| The Department of Public Health Sciences (DPHS) is holding its annual Bayesian Workshop June 1 and June 2, 2023. |
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Andrew Lawson
Distinguished Professor Emeritus
Medical University of South Carolina - Dept of Public Health Sciences
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