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Linear & Logistic Regression (POPH90144)
Graduate courseworkPoints: 12.5On Campus (Parkville)
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 |
---|---|
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:
- Recognise when it is appropriate to use linear and logistic regression models
- Demonstrate practical skills in fitting linear and logistic regression models in the statistical computing package, Stata.
- Interpret the measures of association (mean differences and odds ratios) estimated by linear and logistic regression models.
- Describe and demonstrate how to adjust for confounding and identify variables that modify measures of association using these regression methods.
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: 3 November 2022
Eligibility and requirements
Prerequisites
POPH90142 POPH90143
OR
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90013 | Biostatistics | Semester 1 (On Campus - Parkville) |
12.5 |
POPH90014 | Epidemiology 1 | Semester 1 (On Campus - Parkville) |
12.5 |
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: 3 November 2022
Assessment
Additional details
A written assignment of not more than 8 pages due at the start of the 4th week of the subject (30%), a written assignment of not more than 10 pages due two weeks after the intensive delivery period (40%) and a 1.5-hour open-book examination (administered by the School) to be held during the examination period at the end of semester 2 (30%).
Last updated: 3 November 2022
Dates & times
- July
Principal coordinator Julie Simpson Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 170 hours Teaching period 26 July 2018 to 30 August 2018 Last self-enrol date 2 August 2018 Census date 10 August 2018 Last date to withdraw without fail 31 August 2018 Assessment period ends 14 September 2018 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: 3 November 2022
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 Health Economics and Economic Evaluation Informal specialisation Epidemiology and Biostatistics Major Environment and Public Health Major Environment and Public Health Major Public Health Major Tailored Specialisation Major Tailored Specialisation Major Tailored Specialisation Major Tailored Specialisation 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.
Last updated: 3 November 2022