Dr John Holmes and Prof Lyle Gurrin Melbourne School of Population & Global Health, University of Melbourne
Epidemiology, Mathematical Background for Biostatistics, Probability and Distribution Theory, Principles of Statistical Inference, Linear Models, Categorical Data and Generalised Linear Models
8-12 hours total study time per week
Assignments 100% (two major assignments worth 30% each (8 hours) and 5 shorter assignments each worth 8%.
Recommended – not compulsory: Fitzmaurice G, Laird N, Ware J. Applied Longitudinal Analysis. John Wiley and Sons, 2011. For details, including ISBN, see the BCA Textbook and Software Guide
Stata statistical software
Paired data; the effect of non-independence on comparisons within and between clusters of observations; methods for continuous outcomes: normal mixed effects (hierarchical or multilevel) models and generalised estimating equations (GEE); role and limitations of repeated measures ANOVA; methods for discrete data: GEE and generalized linear mixed models (GLMM); methods for count data.
Course notes, assignment material and interaction facilities available online