Science & engineering

Advanced Topics in Regression

HMS793

Overview

To enrol in this unit, you must be accepted into a course from the provider.
Read before you start

Level of study: What does Postgraduate mean?

Postgraduate

EFTSL: What does EFTSL mean?

0.125

Delivery Method: What does delivery method mean?

Web Dependent

Availability: What is a Study period?

2012:

Duration:

13 weeks

Government loans available:

FEE-HELP FEE-HELP

Domestic student fee:

$1,950.00 (AUD)

International student fee:

$2,175.00 (AUD)

Description

This unit of study provides an introduction to more advanced modelling techniques, including nonlinear regression; generalised linear models; binary, ordinal and multinomial logistic regression; loglinear models; multi-level models; and survival analysis.

Enrolment Restriction

In order to enrol in this unit, you must be accepted into one of the following courses:

If you wish to seek approval to enrol in this unit without being accepted in a course, please contact OUA regarding the process.

Prerequisites

Recommended prerequisites

You are recommended to have completed the following unit(s) or have equivalent knowledge before starting this unit:

  • HMS770 — Statistical Practice 1
  • HMS771 — Statistical Practice 2
  • HMS780 — Multivariate Statistics

Special Requirements

  • Additional materials
  • Other special requirement — Students require access to a recent version of SPSS - Grad Pak at the least.

Assessment

  • Assignment 1 (20%)
  • Assignment 2 (20%)
  • Invigilated Exam (50%)
  • Quizzes (10%)
For more information on invigilated exams see Exams and results

Learning Outcomes

At the completion of this unit students will be able to:

  1. identify some advanced regression techniques commonly used in social and health research
  2. understand the assumptions underlying the use of these methods
  3. apply these techniques in relevant situations using statistical packages (eg. SPSS)
  4. interpret the results of these analyses
  5. develop the capacity to carry out and report independent statistical analyses
  6. develop an awareness of the limitations involved in generalizing the results of such investigations.

Topics

This unit addresses the following topics.

NumberTopic
1Regression methods
2Non-linear regression
3Loglinear models for investigating relationships in categorical data
4Logistic regression for binary, nominal and ordinal data
5Introduction to multi-level modeling
6Survival analysis

Study Resources

This unit is delivered using the following methods and materials:

Instructional Methods

  • Discussion Forum/Discussion Board
  • Online Quizzes/Tests
  • Online assignment submission
  • Podcasting/Lecture capture
  • Standard Media
  • Web links

Print based materials

  • Welcome Letter

Online materials

  • Printable format materials
This unit does not have a prescribed textbook(s).

Relevant Courses

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Unibooks textbook list.