Advanced Topics in Regression - 2018

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

Unit summary

STA80004

  • Level of Study: Postgraduate
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: FEE-HELP
  • Availability for 2017: SP1
  • Availability for 2018: SP1
  • Assessment: Assignments - 2 (40%) , Invigilated Exam (50%) - Learn more

Unit provided by

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2018 Fees
AUD$
Domestic 2,830.00
Domestic continuing 2,620.00
International 3,080.00
International continuing 2,870.00

Tuition fees are reduced for continuing registered SWI students.
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To introduce more advanced modelling techniques, including ordinal and multinomial logistic regression, generalised linear models, GEEs, mixed models, multi-level models and survival analysis.

Please note: assessment values are indicative only, details will be advised at the start of the unit.

Student who successfully complete this unit will be able to:

  1. Appraise how the type of data and the nature of the research questions affects the appropriate analysis methodology
  2. Contrast a range of advanced regression techniques, testing assumptions appropriately
  3. Assess logistic regression analyses for binary, ordinal and nominal response variables
  4. Contrast GEEs, Mixed and Multi-level Modelling analyses for nested and repeated measures data for nominal and metric response variables
  5. Formulate and report on appropriate Survival Analysis models using Cox Regression and Time Dependent Covariates
  6. Identify the most appropriate method of regression analysis in any particular research context.
  • Assignments — 2 (40%)
  • Invigilated Exam (50%)
  • Quizzes — Online (10%)
For more information on invigilated exams see Exams and results

Equivalent units

You cannot enrol in this unit if you have successfully completed any of the following unit(s) because they are considered academically equivalent:

  • HMS793 — Advanced Topics in Regression

Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

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

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

Please visit the course details page and read the Requirements tab for more information about eligibility.

This unit addresses the following topics.

NumberTopic
1Multiple regression
2General linear model
3Generalised linear model
4Logistic regression for binary, nominal and ordinal data
5Generalised estimating equations and Mixed models
6Multi-level modelling
7Survival analysis

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 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 Co-Op textbook list.
This unit does not have a prescribed textbook(s).

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