Bayesian Workshop 2023

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 being offerd in-person and online.  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

June 1, 2023

• 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 2, 2023

• 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

In-Person Workshop

Two-day course sequence is $1,000.00

Early bird rate of $600.00 before May 20, 2023

Online Workshop

Two-day course sequence is $ 500.00

Student rate for online workshop is $250.00

Registration Deadline is May 26, 2023

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

To Register:

1. Complete the registration form (PDF) and send to Paula Talbot at talbotp@musc.edu.

2. Complete the billing information below and click submit.

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