Linear Models
Subject POPH90120 (2010)
Note: This is an archived Handbook entry from 2010.
Credit Points: | 12.50 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2010: Semester 2, Parkville - Taught online/distance.
Distance 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: | -
Subject Study Period Commencement: Credit Points: | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | None | ||||||||||||
Core Participation Requirements: | None |
Coordinator
Prof John CarlinContact
Professor John Carlin, University of Melbourne
Professor Andrew Forbes, Monash University
Biostatistics Collaboration of Australia
OR
Academic Programs Office
Melbourne School of Population Health
Tel: +61 3 8344 9339
Fax: +61 3 8344 0824
Email: sph-gradinfo@unimelb.edu.au
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. |
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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: | http://www.sph.unimelb.edu.au |
Notes: |
This subject is not available in the Master of Public Health.
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Related Course(s): |
Master of Biostatistics Postgraduate Certificate in Biostatistics Postgraduate Diploma in Biostatistics |
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