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Linear Models - BCA808
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 variance; variance components and random effects.
| Credit Points: | 4 |
| When Offered: | X2 - External study; Offered in Session 2 |
| Staff Contact(s): | Associate Professor Gillian Heller |
| Prerequisites: |
(BCA801 and BCA805) or STAT371 or STAT810 or (STAT271 and STAT272 and ACST399) |
| Corequisites: | |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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