Linear Models
BSTA5007
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. This unit will cover: 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 (use of dummy variables, parametrisation, interaction and transformations); model checking and diagnostics; regression to the mean; handling of baseline values; the analysis of variance; variance components and random effects.
Unit of study details
Unit of study level: Postgraduate
Credit points: 6
Commencing semesters: 2
Further unit of study information
Unit of study handbook: BSTA5007
Costs and scholarships information: Costs and Scholarships
Final dates to withdraw from units of study: Census Dates
Available for study abroad and exchange: No