CPD43: Advanced Analysis of Linked Data Course

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25-29 September 2013, Flinders University, Adelaide

This is an intensive five-day course on the theory and practice of the analysis of large sets of linked health and social data at an intermediate to advanced level. Health researchers are given 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 theoretical topics.
Workshop participants will benefit from the presenter’s unmatched level of theoretical expertise and real-world experience in linked data methodology and research technique, as developed and used by researchers from the UWA School of Population Health since 1995.
About the Presenter
Professor David Preen is the Director of the Centre for Health Services Research at the School of Population Health, The University of Western Australia (UWA). He is involved with conducting public health and health services research using linked health and human services data on national priority areas such as: i) medication safety and pharmaco-epidemiology, ii) chronic disease management, iii) delivery of cancer services, iv) health of marginalised populations, and vi) methodological advances using medical record linkage.

Due to his expertise in the analysis of linked health data, Professor Preen is a member the Data Linkage Australia Advisory Board and the National Prescribing Service Data Governance Expert Reference Committee, has been appointed as an Honorary Professor in data linkage research by the College of Medicine at Swansea University, UK, and was the Chair of the Scientific Committee for the inaugural International Data Linkage Conference in 2012. He has published over 90 scientific works from research using medical record linkage and been awarded >30 competitive research grants as chief investigator (totaling >$17.5 million) from national and international funding agencies. His work has been awarded prizes at international level including the Peter Reizenstein Prize from the International Journal of Quality in Health Care.
Course Outline
The curriculum has a robust, modular structure, whereby each day of material deals with a theme that is developed in a staged sequence:
i). relevant theory;
ii). technical principles needed to translate the theory into practice; and
iii). hands-on computing exercises where participants apply their newly-acquired knowledge to the analysis of fictitious but realistic linked health data sets.

The cycle is completed the following morning with a review that consolidates the previous day’s learning.

The module topics covered throughout the five-day course include:
Module 1: Principles of advanced linked data analysis
Module 2: Clinical population dynamics using linked data
Module 3: Complex longitudinal designs using linked data
Module 4: Case distribution designs using linked data
Module 5: Risk modification and adjustment using linked data
Course Timetable (including morning tea, lunchtime and afternoon tea breaks)
Wednesday, 25 September until Monday, 29 September 2013
09:00-10:30: Theory session
10:30-11:00: Morning Tea
11:00-12:30: Technical lab preparation session
12:30-13:30: Lunch
13:30-16:30: Practical computer lab
Target Audience
This course is ideal for health and social care researchers, social scientists, clinical practitioners and health care managers who wish to build on their pre-existing theoretical knowledge and skills in the analysis of linked health data.
The course assumes that participants have completed the Introductory Analysis of Linked Health Data short-course or have equivalent knowledge arising from hands-on experience in the analysis of linked files with multiple and variable numbers of records per individual. The computing component of the unit assumes a facile competence in the preparation of computing syntax for SPSS, SAS or Stata and familiarity with the statistical analysis of linked data files at an introductory level.
It is recommend that participants who have not previously completed an introductory course in epidemiology, familiarise themselves with the basic principles and terms used in that discipline. A working knowledge of statistical concepts, including regression models, used in data analysis in the medical and social sciences is also assumed. Workshop participants are required to bring their own laptop, loaded with SPSS, SAS or Stata.
Learning Objectives
The course practice data sets provide health and social researchers with the opportunity to build on their pre-existing theoretical knowledge and skills in the analysis of linked data by exploring a number of advanced topics. Upon completion the participant will:

  •  have consolidated their grasp of foundation concepts of epidemiology and linked data analysis;
  •  possess an advanced understanding of methods for the conceptualisation and construction of valid measures and effect measures of health and social services utilisation and outcomes based on complex,multi-sourced linked data sets;
  •  understand complex longitudinal research designs and how to implement them using large multi-sourced linked data sets;
  •  understand advanced ‘modern epidemiology’ theoretical principles including case-distribution study designs and how to  practically implement them using large multi-sourced linked data sets;
  •  have skills in the analysis of linked hospital morbidity, mortality, institutional, pharmaceutical and primary care data; and
  •  be able to write computing syntax to prepare complex linked data files for analysis, derive exposure and outcome variables, relate numerators

Payment before 25 August 2013

Early Bird SSAI Members $ 1,675*
Early Bird Non-Members $ 1,900*
Early Bird Full-time Students $ 800*

Payment from 25 August 2013


SSAI Members $ 1,725*
Non-Members $ 1,950*
Full-time Students $ 850*

Registrations close on 18 September 2013.

How to register:
Online registration is available here for SSAI members and the gerenal public. Non-member students can register here.
SSAI members need to be logged in with their membership username to be able to take advantage of the membership discount.
Non-member students need to fax proof of their full-time student status to SSAI (Fax No. 02 6251 0204) before their registrations becomes valid.

*SSAI Membership is available for $220 annually ($20 for full-time students).


Workshop Venue

­ Flinders University, Health Sciences Building (building 20)
Lecture theatre 1.09. Health Sciences Building, Flinders University,
Sturt Road, Bedford Park 5042, South Australia

Link to map of venue: http://www.flinders.edu.au/about_the_campus_files/Documents/campus_map.pdf?CFID=7026815&CFTOKEN=43830750


Travel Expenses
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. However, please contact the SSAI Office before making any travel arrangements to confirm that the workshop will go ahead, because the SSAI will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

Cancellation Policy
Cancellations received prior to Monday, 18 September 2013 will be refunded in full. Cancellations need to be accompanied by a valid credit card number and expiry date which will be used to put the refund through. After this time no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to [email protected]

CPD43: Advanced Analysis of Linked Data Course
When: 25/09/2013 - 29/09/2013
Time: All Day
Cost: $ 1,950
Location: Flinders University, Health Sciences Building (building 20),
Lecture theatre 1.09, Sturt Road,
Bedford Park,
SA 5042

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