School of Population and Global Health

Advanced Analysis of Linked Health Data

Key information

Teaching Dates: Monday 26 September to Friday 30 September 2016

Code: PUBH8802

Teaching Period: Y8

Value: 6 Points

Fees

  • Student: $2887.50
  • Professional development without assessment: $2887.50
  • Professional development with assessment (for unit credit): Enrolment must be completed through AccessUWA
  • Please note that these are domestic fees only
  • International students: please contact the UWA International Office for correct fees at international@uwa.edu.au
  • All fees are GST free

Cancellation policy

  • Cancellations from professional development colleagues will receive a refund (minus 5% administrative fee) prior to the start of the unit.
  • Cancellations after this date may incur a 50% penalty. All cancellations must be submitted via email

Census date and withdrawal without academic penalty date

  • For enrolled students and professional development colleagues doing the unit with assessment:
    the Census Date and the date for Withdrawal Without Academic Penalty is midday on the Tuesday of the teaching week of the unit.

Unit coordinator

This is an intensive five-day unit on the theory and practice of analysis of large sets of linked administrative health data at an intermediate to advanced level.

Unit outline

Advanced principles of health care epidemiology are combined with hands-on practical exercises in the implementation of computing solutions.

Professor Preen provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding technological computing solutions. Students use fictitious but realistic linked data files in the hands-on exercises.

Professor Preen is available in the computing laboratory session each afternoon and conducts an end-of-day plenary discussion where he and class participants share perspectives on how to problem-solve complex research scenarios.

In preparation for the teaching week, you will be sent pre-reading prior to the start of the unit.

Educational objectives

Advanced Analysis of Linked Health Data provides health researchers with the opportunity to build on their pre-existing theoretical knowledge and skills in the analysis of linked health data by exploring a number of advanced topics. Upon completion the participant will:

  • have consolidated their grasp of foundation concepts of health care epidemiology and data analysis
  • possess an advanced understanding of methods for the conceptualisation and construction of valid measures and effect measures of health care utilisation and outcomes based on complex, multi-sourced linked data sets
  • understand complex longitudinal research designs and how to implement them using multi-sourced linked data sets
  • understand case distribution designs and how to implement them using multi-sourced linked data sets
  • have skills in the analysis of linked mortality, institutional, pharmaceutical and primary care health data
  • be 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

Unit prerequisites

The unit assumes that students have completed Introductory Analysis of Linked Health Data or have equivalent knowledge. The computing component of the unit assumes a facile competence in the preparation of computing syntax for either SPSS, SAS or STATA and familiarity with the statistical analysis of linked data files at an introductory to intermediate level.

Enrolment

UWA Postgraduate students

Enrol through studentConnect for credit towards your degree.

Students from other institutions

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 international@uwa.edu.au

Professional development colleagues

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 Enquiries-SPH@uwa.edu.au if you wish to be invoiced.

For participation with assessment, for unit credit, enrolment must be completed through Short courses.

 
 

School of Population and Global Health

This Page

Last updated:
Friday, 29 January, 2016 3:10 PM

http://www.sph.uwa.edu.au/268299