This is archived information!
Search current Handbook for current unit information.
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: | S2 External - Session 2, External (On-campus dates: None) |
| Staff Contact(s): | Associate Professor Gillian Heller |
| Prerequisites: |
(BCA801 and BCA805) or STAT371 or STAT806 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
For unit timetable information and session dates for external offerings please visit the Timetables@Macquarie Website.