The aim of this unit is to enable students to apply methods based on linear models to biostatistical data analysis, with proper attention to underlying assumptions and a major emphasis on the practical interpretation and communication of results. The following topics are covered: the method of least squares; regression models and related statistical inference; flexible nonparametric regression; analysis of covariance to adjust for confounding; multiple regression with matrix algebra; model construction and interpretation (dummy variables, parametrisation, interaction and transformations); model checking and diagnostics; regression to the mean; handling of baseline values; analysis of... -- Course Website
Instructor: Associate Professor Gillian Heller
Prerequisites: (BCA801 and BCA805) or STAT371 or STAT810 or (STAT271 and STAT272 and ACST399)
