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 2021 in Semester 1 at Alfred Hospital. It needs EPM5002, EPM5003, EPM5014, EPM5004, MPH5040 and EPM5009.
- Credit points
- 6
- Offered in 2021
- Semester 1
- Alfred Hospital
- Assessment
- No exam
- 2 tasks
This is the 2021 handbook entry. See the 2027 entry.
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Requisites
Before EPM5008
Corequisites
Pass these before, or take them in the same semester.
Prerequisites
Pass these before you enrol.
- EPM5002Mathematical background for biostatisticsNo reviews yet
- EPM5003Principles of statistical inferenceNo reviews yet
- EPM5014Probability and distribution theoryNo reviews yet
- EPM5004Linear modelsNo reviews yet
- MPH5040Introductory epidemiologyNo reviews yet
- EPM5009Categorical data and generalised linear modelsNo reviews yet
After EPM5008
No unit lists EPM5008 as a prerequisite in the 2021 handbook.
Enrolment rules
Corequisite: This unit is only available to students enrolled in the Graduate Certificate, Graduate Diploma or Masters of Biostatistics.
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 2021
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Alfred Hospital | De |
Assessment
- 2 x Written assignments60%
- Practical exercisesCompetency hurdle40%
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
- Unit Coordinators
- Professor Andrew Forbes
- Chief Examiners
- Professor Andrew Forbes
Common questions
What are the prerequisites for EPM5008?
You need EPM5002, EPM5003, EPM5014, EPM5004, MPH5040 and EPM5009 before you enrol; and EPM5004 before or alongside it. Enrolment rules also apply.
When is EPM5008 offered?
In 2021, EPM5008 runs in Semester 1 at Alfred Hospital.
Does EPM5008 have an exam?
No. EPM5008 has 2 assessment tasks and no exam.