- Code POPH8101
- Unit Value 6 units
- Offered by National Ctre for Epidemiology & Population Health
- ANU College ANU Joint Colleges of Science
- Course subject Population Health
- Areas of interest Public Health, Health
- Academic career PGRD
- Dr Ann-Maree Hughes
- Mode of delivery In Person
Autumn Session 2014
See Future Offerings
Completion of Year 12 maths or equivalent is recommended. Completion of or concurrent enrolment in POPH8100 is recommended.
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
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.
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
Assignments (60%), In-class assessment (35%), Quiz (5%)
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Attendance and participation at an intensive program in the week beginning 7 April, plus additional sessions on the following mornings: 28 April; 12 May; 26 May; 10 June and 16 June.
Betty R Kirkwood & Jonathan AC Sterne. Essential Medical Statistics (2nd Ed). Oxford: Blackwell Science Ltd, 2003. ISBN-13: 978-0865428713
Assumed KnowledgeRecommended Course - POPH8100 Fundamentals of Epidemiology
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. Students continuing in their current program of study will have their tuition fees indexed annually from the year in which you commenced your program. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 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.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|4633||31 Mar 2014||04 Apr 2014||18 Apr 2014||27 Jun 2014||In Person||N/A|