Semester 1: Dr Timothy Schlub, Sydney School of Public Health, University of Sydney
Semester 2: A/Prof Stephane Heritier, Prof Andrew Forbes, Dept of Epidemiology & Preventive Medicine, Monash University
Epidemiology, Mathematical Background for Biostatistics, Probability and Distribution Theory
Principles of Statistical Inference
8-12 hours total study time per week
Semester 1 & 2
Three assignments worth 35%, 25% and 40%
No compulsory textbook
Stata or R statistical software
The method of least squares; regression models and related statistical inference; flexible nonparametric regression; analysis of covariance to adjust for confounding; multiple regression with matrix algebra; model construction and interpretation (use of dummy variables, parametrisation, interaction and transformations); model checking and diagnostics; regression to the mean; handling of baseline values; the analysis of variance; variance components and random effects.
Course notes, assignment material and interaction facilities available online
NOTE: LMR is an important foundation unit. Students who do not develop a strong grasp of this material will struggle to become successful biostatisticians.