Linear Regression

This subject has the following teaching availabilities in 2016:

170 hours

• POPH90014 Epidemiology 1 OR POPH90016 Epidemiology
• POPH90148 Probability and Distribution Theory
• MAST90100 Inference Methods in Biostatistics OR POPH90017 Principles of Statistical Inference

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and the Disability Liaison Unit: http://www.services.unimelb.edu.au/disability/

This subject provides the foundation for regression modelling. Topics covered include: 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 indicator 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.

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.

• Practical exercise 1 (approx 4 hours of work, approx 600 words, no more than 4 pages) due in Week 2 (10%)
• Practical exercise 2 (approx 4 hours of work, approx 600 words, no more than 4 pages) due in Week 4 (10%)
• Major assignment 1 (approx 10 hours of work, approx 1900 words, no more than 10 pages) due in Week 8 (30%)
• Practical exercise 3 (approx 4 hours of work, approx 600 words, no more than 4 pages) due in Week 10 (10%)
• Major assignment 2 (approx 12 hours of work, approx 2300 words, no more than 12 pages) due in Week 12 (40%)

Resources Provided to Students online: Course notes and assignments.
Special Computer Requirements: Stata statistical software.

This subject is not available as a breadth subject.

• Independent problem solving,
• Facility with abstract reasoning,
• Clarity of written expression,
• Sound communication of technical concepts