MPH5200 - Regression methods for epidemiology - 2019

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.


Medicine, Nursing and Health Sciences

Organisational Unit

Department of Epidemiology and Preventive Medicine

Chief examiner(s)

Professor Rory Wolfe


Professor Rory Wolfe

Quota applies

This unit is quota restricted. Selection is on a first-in, first enrolled basis.

Unit guides


Alfred Hospital

  • First semester 2019 (Off-campus)
  • First semester 2019 (On-campus)


The equivalent of Credit (or higher) in MPH5040 and MPH5041


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.


Upon successful completion of this unit, students 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.


Four written assignments (10%, 35%, 35%, 20% each)

Workload requirements

2 x 2 block days plus average of 9 hours per week comprised of a mix of directed and self-directed learning

See also Unit timetable information

This unit applies to the following area(s) of study

Additional information on this unit is available from the faculty at: