Dr Ken Beath, Dept of Mathematics and Statistics, Macquarie University
Epidemiology, Mathematical Background for Biostatistics, Probability and Distribution Theory, Principles of Statistical Inference, Linear Models
8-12 hours total study time per week
Semester 1
3 assignments: Assignment 1 (30%) Censoring and Truncation, Survival Summaries, KaplanMeier, Simple Cox models Assignment 2 (40%) Cox Models including interactions and stratification, Model building, diagnostics, predicted survival and cumulative hazard, Assignment 3 (30%) Time-dependent covariates, parametric models, multivariate survival, graphical presentation
Hosmer D W, Lemeshow S, May S. Applied Survival Analysis: Regression modeling of time to event data, 2nd Edition. Wiley Interscience, 2008 For details, including ISBN, see the BCA Textbook and Software Guide
Recommended – not compulsory: Cleves M, Gould W, Gutierrez R, Marchenko Y. An Introduction to Survival Analysis Using Stata, 3rd edition, 2010. Stata Press – http://survey-design.com.au/bookshopnz.html or www.stata.com/bookstore/bios.html
Stata (R optional) statistical software
Kaplan-Meier life tables; logrank test to compare two or more groups; Cox’s proportional hazards regression model; checking the proportional hazards assumption; time-dependent covariates; multiple or recurrent events; sample size calculations for survival studies.
Course notes, assignment material and interaction facilities available online