During this unit, students learn to analyse data from studies in which individuals are followed up until a particular event occurs (e.g. death, cure, relapse), making use of follow-up data for those who do not experience the event of interest. This unit covers: Kaplan-Meier life tables; logrank test to compare two or more groups; Cox's proportional hazards regression model; checking the proportional hazards assumption; and sample size calculations for survival studies. For each topic, participants are given materials to read beforehand. This is followed by a lecture, then participants are given a small number of exercise to do for the following week. These exercises are discussed in the tutorial at the next session before moving on to the next topic. That is, in most weeks the first hour is a tutorial, followed by the lecture given in the second hour. Participants are expected to run SAS programs in their own time. Preparation time for each session is 2-3 hours. The assignments both invlove use of SAS to analyse survival data sets.
1 x 2hr lecture, 5 x 1hr lectures, and 5 x 1hr tutorials over 6 weeks. Also available online - such students must have regular access to a reliable internet connection capable of streaming or downloading video recorded lectures.
1x 3 page assignment (20%) and 1x 10 page assignment (80%)
Course notes are provided, along with links to additional readings through the library.