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Bayesian Workshop 2022

The Department of Public Health Sciences is excited to offer its annual Bayesian Workshop: Using R for Bayesian Spatial and Spatio-Temporal Health Modeling, Parts I and II.  The workshop is designed to provide a comprehensive introduction to the area of Bayesian Disease mapping using R in applications to Public Health and Epidemiology.   This course sequence is designed for those who want to cover mapping methods, and the use of a variety of software and variants in application to small area health data.

Part I

May 31, 2022

  • Basic Concepts of Bayesian methods and disease mapping
  • Bayesian computation: MCMC and alternatives
  • R graphics for spatial Health Data 
  • Bayesian Hierarchical Models for disease mapping (BHMs):

Simple Models: Poisson-gamma: long-normal, convolution

Variants: Leroux, mixture, BYM2

  • Model goodness of fit
  • Demonstration of risk estimation and using BRugs/OpenBUGS

Part II

June 1, 2022

  • Nimble
  • CARBayes
  • INLA
  • Space-time modeling with McMC (Nimble)
  • Space-time modeling with INLA
  • Clustering in space and space-time
  • Infectious disease modeling and surveillance

 

Registration Information

Booking of the two-day course sequence is $800.00

Early bird rate of $500 before May 20, 2022

Registration Deadline is May 28, 2022

Please see the "Using R for Bayesian Spatial and Spatio-Temporal Health Modeling" Information Packet for more information.

To register complete the Registration Form (PDF) and send to Paula Talbot at talbotp@musc.edu.

  

For more information about the Bayesian Workshop contact Paula Talbot at talbotp@musc.edu.

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