Teaching Dates: Monday 26 to Friday 30 November 2018
Teaching Period: Y10
Value: 6 Points
This is an intensive five-day unit on the theory and practice of analysis of large sets of linked administrative health data at an introductory to intermediate level.
Rapid growth in data linkage projects has led to a shortfall in analyst skills.
Some researchers understand epidemiological principles, but are unfamiliar with the specialised computing skills needed to analyse linked data files.
Others have a strong grasp of computing concepts, but lack an adequate theoretical base to design high quality applications to answer research questions. This endeavours to fill a gap in research training opportunities to cater to these two areas of need.
Professor Preen provides a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding computing solutions. Students use fictitious but realistic linked data files in the hands-on exercises. A lecturer will be available in the computing laboratory session each afternoon and conducts an end-of-day tutorial for those who need additional assistance.
In preparation for the teaching week you will be sent pre-reading two weeks prior.
The unit acquaints health researchers, clinical practitioners and managers with the theory and skills needed to analyse linked health data at the introductory to intermediate level. Upon completion the participant will:
Basic familiarity with computing syntax used in programs such as SPSS, SAS or Stata and methods of basic statistical analysis of fixed-format data files.
There are no formal prerequisites in epidemiology for the course. However, it is recommend that participants who have not previously completed an introductory course in epidemiology, familiarise themselves with the basic principles and terms used in that discipline. A working knowledge of statistical concepts, including regression models, used in data analysis in the medical and social sciences is assumed.
Enrol through studentConnect for credit towards your degree.
You can apply for cross-institutional enrolment using this form (PDF:153 kb) from the UWA Student Admin site.
Please note that these are domestic fees only
International students: please contact the UWA International Office for correct fees at [email protected]
You may choose to participate with or without assessment. If the assessment is successfully completed, you may have your unit credited towards most School of Population Health courses undertaken within five years.
For participation without assessment, please please register and pay on-line through our shopping card facility (credit card payments only). E-mail [email protected] if you wish to be invoiced.