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Longitudinal and Correlated Data (POPH90123)
Graduate courseworkPoints: 12.5Online
About this subject
Contact information
Semester 1
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: https://study.unimelb.edu.au/
Semester 2
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: https://study.unimelb.edu.au/
Overview
| Availability | Semester 1 - Online Semester 2 - Online |
|---|---|
| Fees | Look up fees |
This subject covers statistical models for longitudinal and correlated data. Beginning with models based on normal distributions, the concept of hierarchical data structures is developed. Numerical and analytical examples are used to demonstrate the inadequacy of standard statistical methods, including the limitations of the repeated-measures analysis of variance. Extensions to non-normal data using generalised estimating equations (GEE’s) and generalised mixed linear models (GLMM’s) are explored using the R and Stata statistical software packages.
Intended learning outcomes
On completion of this subject, students should be able to:
- Recognise the existence of correlated or hierarchical data structures, and describe the limitations of standard methods in these settings.
- Develop and analytically describe appropriate models for longitudinal and correlated data based on subject matter considerations.
- Be proficient at using statistical software packages (Stata and R) to fit models and perform computations for longitudinal data analyses, and to correctly interpret results.
- 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.
Generic skills
- Independent problem solving;
- facility with abstract reasoning;
- clarity of written expression;
- sound communication of technical concepts.
Last updated: 8 November 2024