MPH5200 Regression methods for epidemiology
Faculty of Medicine, Nursing and Health Sciences
MPH5200 Regression methods for epidemiology is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2026 in Semester 1 at Alfred Hospital. It has no prerequisites and unlocks 1 unit.
- Credit points
- 6
- Offered in 2026
- Semester 1
- Alfred Hospital
- Assessment
- No exam
- 4 tasks
This is the 2026 handbook entry. See the 2027 entry.
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Requisites
Before MPH5200
No prerequisites or corequisites besides the enrolment rules below.
After MPH5200
1 unit list MPH5200 as a prerequisite or corequisite.
Enrolment rules
Prerequisite: The equivalent of Credit (or higher) in MPH5040 and MPH5041
Prohibition: MPH6200
Prohibition: Course M6025, M5017, M6036
Overview
Confounding and effect modification, logistic regression, conditional logistic regression for matched case-control studies, linear regression, diagnostics to assess model fit, model estimation methods, Poisson regression for rates, Stata statistical software.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | Bld blk |
Assessment
- Logistic regression data analysis (500 words)Written10%
- Logistic regression data analysis and evaluation (1,800 words)Written35%
- Linear regression data analysis and evaluation (1,800 words)Written35%
- Poisson regression data analysis and evaluation (1,000 words)Written20%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Apply regression methods to epidemiological data.
- 2
Interpret regression methods in terms of the epidemiological concepts of confounding and effect modification.
- 3
Analyse epidemiological data using statistical software on a laptop computer.
- 4
Discuss critically the regression methods used in published articles on epidemiological research studies.
- 5
Estimate sample size requirements in the context of simple regression modelling.
Workload and teaching
- Workshops32 hours
- Teaching approachActive learning
Sem 1 - DE mode: 24 contact hours over 3 block days + 2 hours online tutorial + 2 hours online guided discussion + 6 hours independent study per week.
For full details of the teaching approach to this unit, please refer to Moodle.
Learning resources
Required resources
See Moodle for details about required resources.
Contacts
- Chief Examiners
- Associate Professor Arul Earnest
- Unit Coordinators
- Associate Professor Arul Earnest
Common questions
What are the prerequisites for MPH5200?
MPH5200 has no prerequisites, but enrolment rules apply.
What can I take after MPH5200?
MPH5200 is a prerequisite or corequisite for 1 unit, including EPM5018.
When is MPH5200 offered?
In 2026, MPH5200 runs in Semester 1 at Alfred Hospital.
Does MPH5200 have an exam?
No. MPH5200 has 4 assessment tasks and no exam.