Studying online (if an online offering is shown below)
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
Availability Location Mode Not available in 2025 Online Online 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.
- Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
- 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.
Face to face
Predominantly face-to-face. On campus attendance required to complete this unit. May have accompanying resources online.
Online flexible
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit is asynchronous delivery, with NO requirement for students to participate online at specific times.
Online timetabled
100% Online Unit. NO campus face-to-face attendance is required to complete this unit. All study requirements are online only. Unit includes some synchronous components, with a requirement for students to participate online at specific times.
Online Restricted
Not available for self-enrolment. Students access this mode by contacting their student office through AskUWA. 100% Online Unit.
NO campus face-to-face attendance. All study and assessment requirements are online only. Unit includes some timetabled activities, with a requirement for students to participate online at specific times. In exceptional cases (noted in the Handbook) students may be required to participate in face-to-face laboratory classes when a return to UWA’s Crawley campus becomes possible in order to be awarded a final grade.
External
No attendance or regular contact is required, and all study requirements are completed either via correspondence and/or online submission.
Off-campus
Regular attendance is not required, but student attends the institution face to face on an agreed schedule for purposes of supervision and/or instruction.
Multi-mode
Multiple modes of delivery. Unit includes a mix of online and on-campus study requirements. On campus attendance for some activities is required to complete this unit.