Regression Methods in Health Research (POPH90144)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
About this subject
Contact information
July
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 | July - Dual-Delivery |
|---|---|
| Fees | Look up fees |
This subject is compulsory for students doing a Master of Epidemiology or a Master of Science – Epidemiology. The subject covers linear regression methods for continuous outcome variables and logistic regression methods for binary outcome variables. The subject equips students with the practical skills to apply these regression methods to data from epidemiological studies using the statistical package Stata. Also covered is how to adjust for confounding and investigate effect modification using regression models. The focus is on the practical interpretation of the measures of association estimated by these regression models.
Intended learning outcomes
On completion of this subject, students are expected to:
- Explain how regression methods are used to address common objectives of health research in the three areas of descriptive, causal and predictive analysis
- Discuss the fundamental concepts of regression models as tools for representing patterns of systematic variation in data, including interpretation of parameters and interaction effects
- Estimate different types of causal effects (mean differences, risk ratios, odds ratios) in populations using regression models.
- Describe the assumptions and limitations of the use of regression in estimating causal effects with adjustment for confounding
- Outline key principles involved in building regression models for prediction purposes
Generic skills
Upon completion of this subject, students will have developed skills in:
- Critical thinking and analysis,
- Finding, evaluating and using relevant information,
- Problem-solving,
- Written communication,
- Using computers.
Last updated: 8 November 2024
Eligibility and requirements
Prerequisites
All of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| POPH90013 | Biostatistics |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
| POPH90014 | Epidemiology 1 |
Semester 2 (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
|
12.5 |
OR
POPH90142 Epidemiology & Analytic Methods 1 POPH90143 Epidemiology & Analytic Methods 2
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Special computer skills required: Students are expected to have experience using the Stata statistical package
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: 8 November 2024
Assessment
| Description | Timing | Percentage |
|---|---|---|
2 short quizzes (250 words each)
| Early in the teaching period | 20% |
Major Assignment [Report]
| Week 6 | 40% |
Major Assignment [Report]
| Week 9 | 40% |
Last updated: 8 November 2024
Dates & times
- July
Coordinator Eric Au Mode of delivery Dual-Delivery (Parkville) Contact hours 30 hours Total time commitment 170 hours Teaching period 22 July 2024 to 30 August 2024 Last self-enrol date 30 July 2024 Census date 16 August 2024 Last date to withdraw without fail 4 October 2024 Assessment period ends 9 November 2024 July 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: 8 November 2024
Further information
- Texts
- Subject notes
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Epidemiology) Course Master of Epidemiology Course Master of Public Health Major Tailored Specialisation Major Tailored Specialisation Major Environment and Public Health Major Public Health Major Tailored Specialisation Informal specialisation Epidemiology and Biostatistics Informal specialisation Health Economics and Economic Evaluation - Links to additional information
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
Last updated: 8 November 2024