Overview
This unit lays the foundation of biostatistical modelling to analyse data from randomised or observational studies. These skills are essential for biostatistics in practice and will be used by students for the remainder of their BCA studies. This unit will introduce the motivation for different regression analyses and how to … For more content click the Read More button below.
Offerings
S1-01-ALFRED-ONLINE
S2-01-ALFRED-ONLINE
Rules
Enrolment Rule
Contacts
Chief Examiner(s)
Professor Andrew Forbes
Unit Coordinator(s)
Professor Stephane Heritier
Learning outcomes
On successful completion of this unit, you should be able to:
1.
Explain the different research aims for which regression modelling can be applied.
2.
Select and apply a suitable regression modelling approach based on the specific research aim.
3.
Analyse data using normal linear models, and be able to assess model fit and diagnostics.
4.
Analyse data using logistic regression models for binary data, and be able to assess model fit and diagnostics.
5.
Accurately interpret and manipulate mathematical equations that relate to regression analysis.
6.
Communicate the outcomes and justification of a regression analysis.
Assessment
1 - Written mathematical and analytical tasks (Equivalent to 1,800 words)
2 - Written modelling report (Equivalent to 1,800 words)
3 - Written analytical and modelling tasks (Equivalent to 2,400 words)
Scheduled and non-scheduled teaching activities
Workshops
Workload requirements
Workload