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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 (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.
Because of the multi-institutional nature of the BCA units, there is an early cut-off for enrolment in this unit. These dates are:
Session 1: 20 February 2015
Session 2: 24 July 2015
| Credit Points: | 4 |
| When Offered: | S1 External - Session 1, External (On-campus dates: None) 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 and Engineering |
Timetable Information
For unit timetable information and session dates for external offerings please visit the Timetables@Macquarie Website.