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Linear Models (POPH90120)
Graduate courseworkPoints: 12.5Online
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: MSPGH Website
- Email: Enquiry Form
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: MSPGH Website
- Email: Enquiry Form
Overview
Availability | Semester 1 - Online Semester 2 - Online |
---|---|
Fees | Look up fees |
The method of least squares; regression models and related statistical inference; flexible nonparametric regression; analysis of covariance to adjust for confounding; multiple regression with matrix algebra; model construction and interpretation (use of dummy variables, parameterisation, interaction and transformations); model checking and diagnostics; regression to the mean; handling of baseline values; the analysis of variance; variance components and random effects.
Intended learning outcomes
To enable students to apply methods based on linear models to biostatistical data analysis, with proper attention to underlying assumptions and a major emphasis on the practical interpretation and communication of results.
Generic skills
Independent problem solving, facility with abstract reasoning, clarity of written expression, sound communication of technical concepts
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
POPH90017 may be taken concurrently.
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90016 | Epidemiology |
Semester 2 (Online)
Semester 1 (Online)
|
12.5 |
Code | Name | Teaching period | Credit Points |
---|---|---|---|
POPH90017 | Principles of Statistical Inference |
Semester 2 (Online)
Semester 1 (Online)
|
12.5 |
POPH90148 | Probability and Distribution Theory |
Semester 1 (Online)
Semester 2 (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: 3 November 2022
Assessment
Additional details
- 2 x written assignments (requiring approx 10 hours of work each) due in week 7 & 8 (30% each)
- 4 x practical exercises (approximately 3 hours of work each) including brief online quizzes due throughout the semester (10% each)
Last updated: 3 November 2022
Dates & times
- Semester 1 - Online
Principal coordinator Julie Simpson Mode of delivery Online Contact hours None Total time commitment 170 hours Teaching period 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017 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: MSPGH Website
- Email: Enquiry Form
- Semester 2 - Online
Principal coordinator Julie Simpson Mode of delivery Online Contact hours None Total time commitment 170 hours Teaching period 24 July 2017 to 22 October 2017 Last self-enrol date 4 August 2017 Census date 31 August 2017 Last date to withdraw without fail 22 September 2017 Assessment period ends 17 November 2017 Semester 2 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
Additional delivery details
This subject is only available to students who are currently enrolled in the Graduate Diploma or Master of Biostatistics and whose enrolment in that course commenced prior to 2016.
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Resources Provided to Students: Printed course notes and assignments by mail, email, and online interaction.
Special Computer Requirements: Stata statistical software
Recommended texts and other resources
Kutner MH, Nachtsheim CJ, Neter J, Li W. Applied Linear Statistical Models. 5th edition. McGraw-Hill/Irwin 2005. ISBN 978-0-07-310874-2
- Subject notes
This subject is not available in the Master of Public Health.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Postgraduate Diploma in Biostatistics - 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: 3 November 2022