EPM5008 Longitudinal and correlated data analysis
Faculty of Medicine, Nursing and Health Sciences
EPM5008 Longitudinal and correlated data analysis is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2027 in Semester 1 and Semester 2 at Alfred Hospital. It needs MPH5040 and (EPM5027 or EPM5009).
- Credit points
- 6
- Offered in 2027
- Semester 1, Semester 2
- Alfred Hospital
- Assessment
- No exam
- 4 tasks
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Requisites
Before EPM5008
Prerequisites
Pass these before you enrol.
After EPM5008
No unit lists EPM5008 as a prerequisite in the 2027 handbook.
Enrolment rules
Corequisite: This unit is only available to students enrolled in the Graduate Certificate, Graduate Diploma or Masters of Biostatistics, and Master of Health Data Analytics (M6036)
Overview
This unit will develop statistical models for longitudinal and correlated data in medical research. The concept of hierarchical data structures will be developed, together with simple numerical and analytical demonstrations of the inadequacy of standard statistical methods. Normal-theory model and statistical procedures i.e. mixed linear models are explored using SAS or Stata statistical software packages. Extension to non-normal outcomes emphasising clinical research question. Case studies contrast generalised estimating equations and generalised linear mixed models. Limitations of traditional repeated measures analysis of variance and non-exchangeable models.
Offerings in 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | Online |
| Second semester | Alfred Hospital | Online |
Assessment
- Short answer exercises 1 (1,200 words)Exercise20%
- Written report 1 (1,800 words)Written30%
- Short answer exercises 2 (1,200 words)Exercise20%
- Written report 2 (1,800 words)Written30%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Recognise the existence of correlated or hierarchical data structures, and describe the limitations of standard methods in these settings.
- 2
Develop and analytically describe an appropriate model for longitudinal or correlated data based on unit matter considerations.
- 3
Be proficient at using a statistical software package (e.g. Strata or SAS) to properly model and perform computations for longitudinal data analyses, and to correctly interpret results.
- 4
Express the results of statistical analyses of longitudinal data in language suitable for communication to medical investigators or publication in biomedical or epidemiological journal articles.
Workload and teaching
- Teaching approachOnline 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
- Chief Examiners
- Professor Andrew Forbes
- Unit Coordinators
- Professor Andrew Forbes
Common questions
What are the prerequisites for EPM5008?
You need MPH5040 and (EPM5027 or EPM5009) before you enrol. Enrolment rules also apply.
When is EPM5008 offered?
In 2027, EPM5008 runs in Semester 1 and Semester 2 at Alfred Hospital, with an online option.
Does EPM5008 have an exam?
No. EPM5008 has 4 assessment tasks and no exam.