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Longitudinal and Correlated Data (POPH90123)
Graduate courseworkPoints: 12.5Online
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
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/
Overview
Availability | Semester 1 - 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: 31 January 2024
Eligibility and requirements
Prerequisites
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST90099 | Advanced Regression | September (Dual-Delivery - Parkville) |
12.5 |
MAST90100 | Probability & Inference in Biostatistics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
MAST90102 | Foundations of Regression | July (Dual-Delivery - Parkville) |
12.5 |
POPH90014 | Epidemiology 1 |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Online)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Five short assignments (400 words each) (8% each). Due in weeks 3, 5, 7, 9 and 11 respectively.
| Throughout the teaching period | 40% |
Major Assignment #1
| Week 8 | 30% |
Major Assignment #2
| During the examination period | 30% |
Last updated: 31 January 2024
Dates & times
- Semester 1 - Online
Coordinator Lyle Gurrin Mode of delivery Online Contact hours Total time commitment 170 hours Teaching period 27 February 2023 to 28 May 2023 Last self-enrol date 10 March 2023 Census date 31 March 2023 Last date to withdraw without fail 5 May 2023 Assessment period ends 23 June 2023 Semester 1 contact information
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/
Time commitment details
170 hours
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
None
Recommended Text:
Fitzmaurice G, Laird N, Ware J. Applied Longitudinal Analysis. 2nd ed. John Wiley and Sons, 2011. (ISBN 9780470380277)Resources Provided to Students: Printed course notes and assignment material by mail, email, and online interaction facilities.
Special Computer Requirements: Stata statistical software
- Subject notes
This subject is delivered online via our partners in the Biostatistics Collaboration of Australia (www.bca.edu.au). It is not generally available in the Master of Public Health nor in any program outside the MSPGH.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Biostatistics Course Graduate Diploma in Biostatistics - Links to additional information
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024