Linear Models

Subject POPH90120 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 2, Parkville - Taught online/distance.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: None
Total Time Commitment: 8-12 hours total study time per week
Prerequisites: -

Study Period Commencement:
Credit Points:
Semester 1, Semester 2
Semester 1, Semester 2
Semester 1, Semester 2
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements: None


Prof John Carlin


Professor John Carlin, University of Melbourne
Professor Andrew Forbes, Monash University
Biostatistics Collaboration of Australia


Academic Programs Office
Melbourne School of Population Health
Tel: +61 3 8344 9339
Fax: +61 3 8344 0824

Subject Overview:

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.

Objectives: 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.
Assessment: Two case study assignments to be submitted during semester worth 35% and 40% respectively (approx 12 hours work each).
Submission of selected practical exercises throughout the semester worth 20% in total (approx 10 hrs of work)
Contribution to online quizzes worth 5% (approx 6 hrs of work)
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:

Kutner MH, Nachtsheim CJ, Neter J, Li W. Applied Linear Statistical Models. 5th edition. McGraw-Hill/Irwin 2005. ISBN 978-0-07-310874-2

Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

Independent problem solving, facility with abstract reasoning, clarity of written expression, sound communication of technical concepts

Links to further information:

This subject is not available in the Master of Public Health.

Related Course(s): Master of Biostatistics
Postgraduate Certificate in Biostatistics
Postgraduate Diploma in Biostatistics

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