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Advanced Elements of Analytics (MAST90134)

Graduate courseworkPoints: 12.5Not available in 2019

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Year of offerNot available in 2019
Subject levelGraduate coursework
Subject codeMAST90134
FeesSubject EFTSL, Level, Discipline & Census Date

This subject equips students with the practical skills to apply regression methods to health data using the statistical packages R and Stata, as well as a major emphasis on the interpretation and communication of results. Topics covered include: analysis of continuous outcomes with linear regression; analysis of binary outcomes with logistic and tree-based regression methods; analysis of time-to-event outcomes with Cox and Poisson regression; fitting the aforementioned regression models in the statistical packages R and Stata; interpretation of the different measures of association estimated in each of the regression models; how to adjust for confounding and identify variables that modify measures of association using these regression methods; and purpose of regression modelling (causal vs. predictive).

Intended learning outcomes

  • Demonstrate practical skills when fitting regression models to data using statistical computing software (R and/or Stata)
  • Assess the suitability of a regression model with attention to checking the underlying assumptions
  • Describe and demonstrate how to adjust for confounding and identify variables that modify measures of association using these regression methods
  • Demonstrate the ability to interpret and effectively communicate (including visually) results of regression modelling

Generic skills

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

Eligibility and requirements


Code Name Teaching period Credit Points
MAST90130 Critical Thinking with Analytics
Term 1
Term 3
POPH90295 Designing Analytics Investigations 12.5
MAST90135 Foundations of Analytics
Term 4



Non-allowed subjects


Core participation requirements

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home


  • Practical exercise 2
  • 1500 words
Mid term30%
  • Major case study assignment
  • 2500 words
End of term40%
  • Contribution to online discussions
From week 1 to week 810%
  • Practical Exercise 1
  • 1200 words
Early term20%

Dates & times

Not available in 2019

Further information

  • Texts

    Prescribed texts

    Students will have access to electronic copies of relevant readings.

  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 19 July 2019