Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview


This unit introduces the topic of linked health data analysis at an introductory to intermediate level. It fills a gap in research training opportunities by combining the principles of healthcare epidemiology with hands-on practical exercises in the implementation of computing solutions. The modular structure of the unit provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding computing solutions. Students use de-identified linked data files in the hands-on exercises. The computing component of the unit assumes a basic familiarity with computing syntax used in programs such as SPSS, SAS, STATA and R and methods of basic statistical analysis of fixed-format data files.

6 points
(see Timetable)
Non-standard teaching periodOnlineOnline timetabled

Students are able to (1) develop an overview of the theory of data linkage methods and features of comprehensive data linkage systems, sufficient to understand the sources and limitations of linked health data sets; (2) apply the principles of epidemiologic measurement and research methods for the conceptualisation and construction of numerators and denominators used in the analysis of disease trends and healthcare utilisation and outcomes; (3) identify sources of error in epidemiologic measurement; (4) perform statistical analyses on linked longitudinal health data; (5) perform the manipulation of large linked data files; (6) write syntax to prepare linked data files for analysis,; (7) identify exposure and outcome variables for the purposes of linked data analysis

; and (8) produce results from statistical procedures at an introductory to intermediate level.


Indicative assessments in this unit are as follows: (1) a reflective learning journal from laboratory sessions; (2) a take-home assignment exercise; and (3) online quiz. Further information is available in the unit outline.

Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Professor David Preen
Unit rules
Advisable prior study
Students should be familiar with basic algebraic equations and formulae and be familiar with computing in a Windows environment.
Students who have not previously completed an introductory course in epidemiology
or biostatistics may wish to familiarise themselves with the basic principles and terms used in the disciplines.
Contact hours
offered intensively (1 week full-time)

Students are provided with comprehensive notes. There is no recommended text.

  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.