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MPH5200 · Regression methods for epidemiology

Official Handbook

2026 Handbook6 credit pointsLevel 5Department of Epidemiology and Preventive Medicine

Last checked: 23 Aug 2026 UTC

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

CampusTeaching periodMode
Alfred HospitalFirst semesterActivities scheduled as a mix of on-campus and online activities in a block period (BLD-BLK)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Logistic regression data analysis (500 words)Written10%
2Logistic regression data analysis and evaluation (1,800 words)Written35%
3Linear regression data analysis and evaluation (1,800 words)Written35%
4Poisson 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.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

  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

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.

ActivityDuration
Workshops32 hours

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