Linear Models (BSTA5007)
UNIT OF STUDY
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.
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Further unit of study information
8-12 hours total study time per week, distance learning
2x written assignments (35%, 40%), submitted exercises (20%), online quizzes (5%)
Recommended: Kutner MH, Nachtsheim CJ, Neter J, Li W. Applied Linear Statistical Models. 5th edition. McGraw-Hill/Irwin 2005. ISBN 978-0-07-310874-2 Notes supplied.
Faculty/department permission required?
Unit of study rules
Prerequisites and assumed knowledge
BSTA5002 and (BSTA5011 or PUBH5010)
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