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 2021 in Semester 1 at Alfred Hospital. It needs MPH5040 and MPH5041.
- Credit points
- 6
- Offered in 2021
- Semester 1
- Alfred Hospital
- Assessment
- No exam
- 4 tasks
This is the 2021 handbook entry. See the 2027 entry.
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Requisites
Before MPH5200
Prerequisites
Pass these before you enrol.
After MPH5200
No unit lists MPH5200 as a prerequisite in the 2021 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 2021
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | Block on |
Assessment
- Logistic regression data analysis (500 words)10%
- Logistic regression data analysis and evaluation (1,800 words)35%
- Linear regression data analysis and evaluation (1,800 words)35%
- Poisson regression data analysis and evaluation (1,000 words)20%
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
- Teaching approachActive learning
2 x 2 block days plus average of 9 hours per week comprised of a mix of directed and self-directed learning
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
- Unit Coordinators
- Professor Rory Wolfe
- Chief Examiners
- Professor Rory Wolfe