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Regression Methods in Health Research (POPH90144)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
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: MSPGH Website
- Email: Enquiry Form
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: 31 January 2024
Eligibility and requirements
Prerequisites
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90013 | Biostatistics | Semester 1 (Online) |
12.5 |
POPH90014 | Epidemiology 1 | Semester 1 (Online) |
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: 31 January 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: 31 January 2024
Dates & times
- July
Principal coordinator Enes Makalic Mode of delivery Dual-Delivery (Parkville) Contact hours 30 hours Total time commitment 170 hours Teaching period 28 July 2022 to 2 September 2022 Last self-enrol date 4 August 2022 Census date 19 August 2022 Last date to withdraw without fail 7 October 2022 Assessment period ends 12 November 2022 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: MSPGH Website
- Email: Enquiry Form
Time commitment details
170 hours
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
BR Kirkwood and JAC Sterne, Essential Medical Statistics Second Edition, Blackwell Science, 2003.
- Subject notes
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Epidemiology Course Master of Science (Epidemiology) Course Master of Public Health Informal specialisation Epidemiology and Biostatistics Informal specialisation Health Economics and Economic Evaluation Major Environment and Public Health Major Tailored Specialisation Major Public Health Major Tailored Specialisation Major Tailored Specialisation - 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.
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
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