Dr Michael Waller, School of Public Health, University of Queensland
Epidemiology, Mathematical Background for Biostatistics, Probability and Distribution Theory, Principles of Statistical Inference
8-12 hours total study time per week
3 assignments, the first for modules 1-3 (30%), the second for modules 4-5 (35%) and the last for module 6 (35%)
References will be listed in the unit Study Guide
Stata or R statistical software
Introduction to and revision of conventional methods for contingency tables especially in epidemiology: odds ratios and relative risks, chi-squared tests for independence, Mantel-Haenszel methods for stratified tables, and methods for paired data. The exponential family of distributions; generalized linear models (GLMs), and parameter estimation for GLMs. Inference for GLMs – including the use of score, Wald and deviance statistics for confidence intervals and hypothesis tests, and residuals. Binary variables and logistic regression models – including methods for assessing model adequacy. Nominal and ordinal logistic regression for categorical response variables with more than two categories. Count data, Poisson regression and log-linear models.
Course notes, assignment material, tutorials and interaction facilities available online