units
EPM5013
Faculty of Medicine, Nursing and Health Sciences
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6 points, SCA Band 2, 0.125 EFTSLRefer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.
SynopsisThis unit provides a thorough introduction to the concepts and methods of modern Bayesian statistical methods with particular emphasis on practical applications in biostatistics. Comparison of Bayesian concepts involving prior distributions with classical approaches to statistical analysis, particularly likelihood based methods. Applications to fitting hierarchical models to complex data structures via simulation from posterior distributions using Markov chain Monte Carlo techniques (MCMC) with the WinBUGS software package. Objectives
On completion of this unit students should be able to:
Assessment
Written assignments (80%) Chief examiner(s)PrerequisitesMPH1040; EPM5002; EPM5003; EPM5004; EPM5009 & EPM5014 ProhibitionsThis unit is only available to students enrolled in the Graduate Certificate, Graduate Diploma or Masters of Biostatistics. Additional information on this unit is available from the faculty at: |