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: 19 February 2018
Session 2: 23 July 2018
| Credit Points: | 4 |
| When Offered: | S1 External - Session 1, External (On-campus sessions: None) S2 External - Session 2, External (On-campus sessions: None) |
| Staff Contact(s): | Professor Gillian Heller |
| Prerequisites: |
((Admission to MBioStat or PGDipBioStat or PGCertBioStat or GradDipBioStat or GradCertBioStat) and BCA801 and BCA817) or (admission to MActPrac and (STAT810 or STAT806)) |
| Corequisites: |
((Admission to MBioStat or PGDipBioStat or PGCertBioStat or GradDipBioStat or GradCertBioStat) and BCA805) or admission to MActPrac |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science and Engineering |
Course structures, including unit offerings, are subject to change.
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