- Code POPH8313
- Unit Value 6 units
- Offered by Research School of Population Health
- ANU College ANU Joint Colleges of Science
- Course subject Population Health
Data analysis is a central activity in applied epidemiology providing underlying evidence for public health policy formulation and action. Data may come from studies with survey, cohort or case control designs, or from health system surveillance or monitoring. The different types of data require different analytic methods appropriate to the form of the data and to the research question. This course aims to introduce students to some different types of quantitative public health data, with a focus on secondary dataset analysis, and to give students the opportunity for hands-on learning of epidemiological data analysis skills. The course is relevant to any student interested in a career in public health or health research, or to those wishing to extend their statistical skills to analysis of public health data.
Upon successful completion, students will have the knowledge and skills to:
At the completion of this subject, students should have the skills and knowledge to:
- Define questions of public health significance appropriate to secondary dataset analysis
- Design an analysis plan
- Perform a descriptive analysis
- Identify and use appropriate statistical analytic approaches and methods
- Identify limitations of data analyses
- Communicate findings for public health action
Other InformationStudents enrolled in this course should have completed an undergraduate degree and Masters level courses on Epidemiology and/or Biostatistics from a recognised School of Public Health (either in Australia or internationally), or completion of Fundamentals of Epidemiology and Fundamentals of Biostatistics short courses held at the ANU, or equivalent experience. Students wishing to do this subject, but do not have these prerequisites should contact the convener.
- One online exam (40%)
- Two written assignments (20% and 40% each).
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.
Attendance and participation at a short course (of five days duration) is required in semester two for on-campus students. Participation in online teaching sessions over the semester plus additional time spent on pre-reading, self-directed study and completing the assessment requirements is required as per a 6-unit course load.
Requisite and Incompatibility
You will need to contact the Research School of Population Health to request a permission code to enrol in this course.
Betty Kirkwood & Jonathon Stern. Essential Medical Statistics. 3rd Edition. Blackwell Science, Oxford 2012. ISBN: 1405158964
Understanding of basic epidemiology and biostatistics.
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:
- 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.
Offerings, Dates and Class Summary Links
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|
|8217||24 Jul 2017||31 Jul 2017||31 Aug 2017||27 Oct 2017||In Person||N/A|
|9872||24 Jul 2017||31 Jul 2017||31 Aug 2017||27 Oct 2017||Online||N/A|