Units / MPH6200
MPH6200 · Regression methods for epidemiology
2026 Handbook0 credit pointsLevel 6Faculty of Medicine, Nursing and Health Sciences
Last checked: 23 Aug 2026 UTCOverview
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
| Campus | Teaching period | Mode |
|---|---|---|
| Alfred Hospital | First semester | Some activities have a choice of on-campus or online teaching activities in a block period (FLX-BLK) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | Logistic regression data analysis (500 words) | Written | 10% | — |
| 2 | Logistic regression data analysis and evaluation (1,800 words) | Written | 35% | — |
| 3 | Linear regression data analysis and evaluation (1,800 words) | Written | 35% | — |
| 4 | Poisson regression data analysis and evaluation (1,000 words) | Written | 20% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
The Handbook lists no prerequisite, corequisite or prohibition for this unit.
Learning outcomes
- Apply regression methods to epidemiological data
- Interpret regression methods in terms of the epidemiological concepts of confounding and effect modification.
- Analyse epidemiological data using statistical software on a laptop computer.
- Discuss critically the regression methods used in published articles on epidemiological research studies.
- Estimate sample size requirements in the context of simple regression modelling.
Workload
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.
| Activity | Duration |
|---|---|
| Workshops | 32 hours |
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