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 2020 in Semester 1 at Alfred Hospital. It needs MPH5040 and MPH5041.
- Credit points
- 6
- Offered in 2020
- Semester 1
- Alfred Hospital
This is the 2020 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review MPH5200.
Requisites
Before MPH5200
Prerequisites
Pass these before you enrol.
After MPH5200
No unit lists MPH5200 as a prerequisite in the 2020 handbook.
Enrolment rules
Prerequisite: The equivalent of Credit (or higher) in MPH5040 and MPH5041
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 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | De |
| First semester | Alfred Hospital | Block on |
| First semester (Fully flex) | Alfred Hospital | Flexible |
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
2 x 2 block days plus average of 9 hours per week comprised of a mix of directed and self-directed learning
Contacts
- Unit Coordinators
- Professor Rory Wolfe
- Chief Examiners
- Professor Rory Wolfe