PUBH8802 Advanced Analysis of Linked Health Data [PG]
EPIDEMIOLOGIC METHODS FOR HEALTH SERVICES RESEARCH
| Credit |
6 points |
| Availability |
non-standard teaching period (see Timetable) |
| Outcomes |
Students possess an advanced understanding of the principles of epidemiologic measurement and research methods for the conceptualisation and construction of measures of health care utilisation and outcomes based on complex, multi-sourced linked data sets; have skills in the analysis of linked institutional, pharmaceutical and primary care health care data; understand 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; are able to perform advanced statistical analyses on dynamic and longitudinal health data, including time series analysis, actuarial survival analysis, Poisson and Cox regression; are able to manipulate multiple large linked data files; and are able to write computing syntax to prepare complex linked data files for analysis, derive exposure and outcome variables, relate numerators and denominators and produce results from advanced statistical procedures. |
| Content |
This unit is taught at an intermediate to advanced level and assumes that students have completed PUBH8785 Introductory Analysis of Linked Health Data or have equivalent knowledge. Advanced principles of health care 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 on CD-ROM 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. |
| Assessment |
This comprises a reflective-learning journal from laboratory sessions and a take-home assignment exercise.
Supplementary assessment is not available in this unit. |
| Unit Co-ordinator(s) |
Winthrop Professor D'Arcy Holman |
| Location |
UWA (Crawley) |
| Mode |
on-campus |
| Unit Rules |
| Prerequisites: PUBH8785 Introductory Analysis of Linked Health Data or equivalent skills and experience. 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—1 week full-time
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| Note |
This unit is offered at UWA (Crawley) in November/December 2010. |
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- The availability of units in Semester 1, 2, etc. was correct at the time of going to press but may be subject to change.
- Assistance with study skills, including English language skills, is available free of charge from Student Services for all enrolled students (see http://www.studentservices.uwa.edu.au/ss/learning). Student Services location: Second Floor, South Wing, Guild Village; telephone: 6488 2423.
- Books and other materials wherever listed may be subject to change. Book lists relating to 'Preliminary Reading', 'Recommended Reading' and 'Textbooks' are, in most cases, available at the University Co-operative Bookshop (from early January) and appropriate administrative offices for students to consult. For first-year units the Bookshop will endeavour to make available photocopies of book lists for individual units. Books marked with an asterisk (*) are available in paperback.
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