This unit introduces students to statistical methods relevant in medicine and health. Students will learn how to appropriately summarise and visualise data, carry out a statistical analysis, interpret p-values and confidence intervals, and present statistical findings in a scientific publication. Students will also learn how to determine the appropriate sample size when planning a research study. Students will learn how to conduct analyses using calculators and statistical software. Specific analysis methods of this unit include: hypothesis tests for one-sample, two paired samples and two independent samples for continuous and binary data; distribution-free methods for two paired samples, two independent samples; correlation and simple linear regression; power and sample size estimation for simple studies; and introduction to multivariable regression models;. Students that wish to continue with their statistical learning after this unit are encouraged to take PUBH5217 Regression Modelling.
2 x 2hr lectures, 10 x 1hr lectures, 11 x 2hr tutorials, 2 x 1hr and 8 x 0.5hr statistical computing self directed learning tasks over 12 weeks - lectures and tutorials may be completed online
Weekly quizzes (10%), 1x4 page assignment (20%), 1x1hr online test (20%) and 1x1.5hr open-book exam (50%). For distance students it may be possible to complete the exam externally with the approval of the course coordinator.
Course notes will be made available.