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

Description

This unit is taught at an intermediate to advanced level and assumes that students have completed PUBH5785 Introductory Analysis of Linked Health Data (formerly PUBH8785 Introductory Analysis of Linked Health Data) or have equivalent knowledge. Advanced principles of healthcare epidemiology are combined with hands-on practical exercises in the implementation of computing solutions. The modular structure of the unit provides students with a theoretical grounding on each topic, followed by a training session on the corresponding computing solutions. Students use de-identified data files in the hands-on exercises. The computing component of the unit assumes a basic competence in the preparation of computing syntax for programs such as SPSS, SAS or STATA and familiarity with the statistical analysis of linked data files at an introductory to intermediate level.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Non-standard teaching periodOnlineOnline timetabled
Outcomes

Students are able to (1) develop an advanced understanding of the principles of epidemiologic measurement and research methods for the conceptualisation and construction of measures of healthcare utilisation and outcomes based on complex, multi-sourced linked data sets; (2) apply skills in the analysis of linked institutional, pharmaceutical and primary care healthcare data; (3) identify sources of error in epidemiologic measurement, the difference between confounding and effect modification, and advanced research methods, including regression models used in risk adjustment in health services research; (4) perform advanced statistical analyses on dynamic and longitudinal health data, including time series analysis, actuarial survival analysis, Poisson and Cox regression; (5) perform the manipulation of multiple large linked data files; (6) write computing syntax to prepare complex linked data files for analysis,; (7) classify exposure and outcome variables for the purposes of linked data analysis

; and (8) produce detailed results from advanced statistical procedures.

Assessment

Indicative assessments in this unit are as follows: (1) reflective learning journal from laboratory sessions; (2) 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
Prerequisites
PUBH5785 Introductory Analysis of Linked Health Data (ID 3940) (formerly PUBH8785 Introductory Analysis of Linked Health Data) or equivalent skills and experience.
Advisable prior study
The computing component of the unit assumes a facile competence in the preparation of computing syntax for programs such as SPSS, SAS
or STATA and familiarity with the statistical analysis of linked data files at an introductory to intermediate level.
Contact hours
offered intensively (1 week full-time)
Note
This is an advanced unit in analysis of linked health data and is taught every second year in even years.
Texts

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.