26 hours lectures, 13 hours tutorials, 26 hours practicals. Semester 2.
Available to graduate students.
A course of lectures, assignments and seminars on epidemiological and statistical methods. Topics include survey design, logistic and log-linear regression models, censored data and survival analysis.
Learning Objectives:
design epidemiological surveys;
understand and apply contemporary epidemiological method;
be able to analyse complex epidemiological data sets using statistical software.
Assessment by assignments (100%).
