• Offered by Research School of Population Health
  • ANU College ANU Joint Colleges of Science
  • Course subject Population Health
  • Academic career UGRD
  • Course convener
    • Dr Alice Richardson
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2016
    Second Semester 2016
    See Future Offerings

This course will examine principles of biostatistics, in the context of real-world public health issues. The aim of the course is to help those without a technical background to read and interpret biostatistical content in the medical and public health literature.

Topics, chosen by frequency of occurrence in the literature, will include:

  • Introduction to sampling distributions, hypothesis tests and estimation
  • Analysis of normal data, including t-tests and linear regression
  • Analysis of binary data, including 2x2 tables, Mantel-Haenszel methods and logistic regression
  • Analysis of count data, including comparing rates between two groups,
  • Poisson regression and survival analysis
  • Meta-analysis

Throughout the course, the emphasis will be on understanding the reasons why the techniques are appropriate, underlying assumptions and interpretation of results, rather than the mechanics of calculation. Each topic will draw upon one or two papers from the literature. Both lectures and small group tutorials will be used to facilitate learning and provide opportunities to explore specific topics in more detail.

 

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

By the end of the course, students will be able to:

  • Explain the various mathematical and biostatistical concepts covered during the course
  • Recognize differences in data distributions via visual displays
  • Give examples of different types of data and know the appropriate techniques for analysing: continuous outcomes; binary data; count data; and survival data
  • Interpret the results of: t-tests and linear regression; 2x2 tables, Mantel-Haenszel methods and logistic regression; Poisson regression; Cox regression; and meta-analysis
  • Critically appraise the evidence presented in published research studies

Indicative Assessment

Assignments (60%), take-home exam (35%), Quiz (5%)

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Semester 1, 2016: Weekly sessions on Thursday mornings.

Winter Session, 2016: to be confirmed please contact course convener.

Requisite and Incompatibility

You will need to contact the Research School of Population Health to request a permission code to enrol in this course.

Prescribed Texts

Betty R Kirkwood & Jonathan AC Sterne. Essential Medical Statistics (2nd Ed). Oxford: Blackwell Science Ltd, 2003. ISBN-13: 978-0865428713

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
2
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2016 $3894
International fee paying students
Year Fee
2016 $5190
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4788 15 Feb 2016 26 Feb 2016 31 Mar 2016 27 May 2016 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
9802 18 Jul 2016 29 Jul 2016 31 Aug 2016 28 Oct 2016 In Person N/A

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