EPM5027 Regression modelling for biostatistics 1
Faculty of Medicine, Nursing and Health Sciences
EPM5027 Regression modelling for biostatistics 1 is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2024 in Semester 1 and Semester 2 at Alfred Hospital. It has no prerequisites and unlocks 11 units, leading on to 14 units in all.
- Credit points
- 6
- Offered in 2024
- Semester 1, Semester 2
- Alfred Hospital
- Assessment
- No exam
- 3 tasks
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before EPM5027
No prerequisites or corequisites besides the enrolment rules below.
After EPM5027
11 units list EPM5027 as a prerequisite or corequisite.
- EPM5006Clinical biostatisticsNo reviews yetCoreq
- EPM5008Longitudinal and correlated data analysisNo reviews yet
- EPM5012Statistical genomicsNo reviews yet
- EPM5013Bayesian statistical methodsNo reviews yet
- EPM5017Machine learning for biostatisticsNo reviews yet
- EPM5018Causal inferenceNo reviews yet
- EPM5028Regression modelling for biostatistics IINo reviews yet
- EPM5032Applied health data analytics group case studyNo reviews yet
Enrolment rules
Must be enrolled in a postgraduate course.
Prerequisite: For commencement date before 01/01/2022: Must have passed EPM5002 and EPM5014 otherwise must have passed EPM5026.
Corequisite: EPM5003 and MPH5040.
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 choose an appropriate modelling strategy. This unit will teach how to use linear regression to analyse continuous outcomes and logistic regression for binary outcomes.
Emphasis will be placed on interpretation of results and checking the model assumptions. Stata and R software will be used to apply the methods to real study datasets.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | Online |
| Second semester | Alfred Hospital | Online |
Assessment
- Written mathematical and analytical tasks (Equivalent to 1,800 words)30%
- Written modelling report (Equivalent to 1,800 words)30%
- Written analytical and modelling tasks (Equivalent to 2,400 words)40%
Learning outcomes
When you finish 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.
Workload and teaching
- Workshops-
Off campus: Twelve hours per week, consisting of (on average) 4 hours per week for reading core material, 4 hours per week completing exercises (manual, computer-based, or on-line), 2 hours per week for on-line communication via online moderated discussions, and 2 hours per week for assignment preparation. No residential component is required.
Contacts
- Chief Examiners
- Professor Andrew Forbes
- Unit Coordinators
- Professor Stephane Heritier
Common questions
What are the prerequisites for EPM5027?
EPM5027 has no prerequisites, but enrolment rules apply.
What can I take after EPM5027?
EPM5027 is a prerequisite or corequisite for 11 units, including EPM5006, EPM5008, EPM5012, EPM5013, EPM5017 and EPM5018. Those lead on to 14 units in all.
When is EPM5027 offered?
In 2024, EPM5027 runs in Semester 1 and Semester 2 at Alfred Hospital, with an online option.
Does EPM5027 have an exam?
No. EPM5027 has 3 assessment tasks and no exam.