BSTA5014: Bayesian Statistical Methods (BAY)
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Unit of study_

BSTA5014: Bayesian Statistical Methods (BAY)

2025 unit information

The aim of this unit is to provide a solid understanding of how Bayesian methods are applied to solve data-related problems in medicine and health sciences. You will explore the differences between Bayesian and Frequentist (also known as classical or approximation-based) statistical approaches, and learn how to apply Bayesian methods. This unit covers: Bayesian model development using prior knowledge (single and multiple parameter models, such as generalised linear regression, mixed-models); the use of Directed acyclic graph (DAG) in the context of Bayesian hierarchical modelling; designing clinical trials and calculating sample sizes using Bayesian methods; and Bayesian model choice/selection, including computational techniques. The course will use R programming language and Stan, though no prior knowledge of Stan is required.

Unit details and rules

Managing faculty or University school:

Medicine and Health

Study level Postgraduate
Academic unit Public Health
Credit points 6
Prerequisites:
? 
BSTA5210 or BSTA5211 or (BSTA5007 and BSTA5008)
Corequisites:
? 
None
Prohibitions:
? 
None
Assumed knowledge:
? 
None

At the completion of this unit, you should be able to:

  • LO1. Explain the difference between Bayesian and frequentist concepts of statistical inference.
  • LO2. Demonstrate how to specify and fit simple Bayesian models with appropriate attention to the role of the prior distribution and the data model.
  • LO3. Explain how these generative models can be used for inference, prediction, and model criticism.
  • LO4. Demonstrate proficiency in using statistical software packages (R and Stan) to specify, fit, diagnose, and compare models.
  • LO5. Engage in specifying, checking, and interpreting Bayesian statistical analyses in practical problems using effective communication with health and medical investigators.

Unit availability

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The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 2 2025
Online Camperdown / Darlington, Sydney
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 2 Early 2020
Online Camperdown / Darlington, Sydney
Outline unavailable
Semester 2 2022
Online Camperdown / Darlington, Sydney

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Modes of attendance (MoA)

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