Introduction to Bayesian Analysis
This one-day short course is designed specifically for those interested in the use of Bayesian techniques to analyse data from longitudinal studies such as clinical registries, routinely collected health data and even cohort studies.
Course date
21 OCTOBER 2024
Course delivery
Online via Zoom
Course fees
$550 incl. GST
10% discount for undergraduate and postgraduate students, Monash University staff and alumni, and Alfred Health staff.
Program contact
Phone: +61 3 9903 0289
Terms and Conditions
Course registration closes one week prior to the course commencement date.
The day will start with an introduction to Bayesian techniques and theory, followed by an introduction to WinBUGs software. Finally, applications of models to spatial data will be exemplified.
Each lecture will be followed by hands-on practical sessions using realistic clinical registry data, and the sessions are meant to be highly interactive. Participants will be provided with a copy of WinBUGS software.
Learning objectives
- Describe the basic theory around Bayesian analysis
- Design, run and check for convergence a basic model in Bayesian framework
- Critically appraise a journal article utilising Bayesian analysis
- Compare and contrast Bayesian and Frequentist approaches
Who would benefit from this course?
This course would benefit anyone involved in the design, conduct and analysis of registry/longitudinal data. This includes, but is not limited to, clinicians, data analysts, health managers, research assistants, and PhD students.
Course facilitator
While the information contained herein was correct at the date of publication, Monash University reserves the right to alter procedures, fees and regulations should the need arise.