Healthy Life Expectancy from Longitudinal Data: Understanding how Health and Mortality Evolve

Date & time

8am 17 June – 5pm 19 June 2014

Location

Building 65, 20 Balmain Crescent, The ANU Campus.

Speakers

Professor Carol Jagger
Mr Andrew Kingston

Contacts

 Trina Merrell
 +61 (0)2 61256182

The ARC Centre of Excellence in Population Ageing Research (CEPAR) is proud to offer this three day workshop for early career researchers hosted by the Centre for Research in Ageing, Health and Wellbeing at the Australian National University.

Healthy life expectancy is becoming an important tool to monitor population health. Whilst such indicators based on cross-sectional data and the Sullivan method  have their place for monitoring trends and cross-national comparisons, healthy life expectancies from longitudinal data allow a much richer understanding of the transitions between the states of health, ill-health and death. In addition longitudinal methods for healthy life expectancy, unlike the Sullivan method,  allow the inclusion of covariates, both to adjust for key confounders and to calculate healthy life expectancy for specific groups, for instance by level of education. Through lectures and practicals, this workshop will provide the fundamental tools to:

  • understand the benefits of health expectancies from longitudinal data
  • appreciate the different longitudinal study designs and their implications for calculating health expectancies from them
  • understand how to calculate health expectancies from longitudinal data using two software packages, the interpretation of their output and their respective strengths and limitations.
  • Although an example dataset will be provided for participants to work with, they are encouraged to bring their own data and research questions.

    Prerequisites

    Participants should have attended the introductory workshop on healthy life expectancy from cross-sectional data held in December 2013, or they should have previous experience of calculating health expectancies. As this will be a fast-paced workshop, participants must have a strong quantitative background and be experienced in manipulation of large longitudinal data sets. Knowledge of one or more of STATA, SAS, R or another programming language is desirable.

    Workshop Schedule

    The full workshop schedule and further information will be published closer to the date.

    Travel Bursaries

    A number of travel bursaries valued at up to $750 will be offered to assist interstate participants with travel and accommodation expenses.

    Applications

    A limited number of places are available. Applications must be made on the prescribed APPLICATION FORM and submitted by 31 March 2014.

    Selection

    Participants will be selected on the basis of the above prerequisites. PhD students are eligible to apply but preference may be given to Early Career Researchers (researchers who have completed a PhD in the last 5 years).

    Cost

    There is no charge for the workshop. The workshop is supported by funding provided to CEPAR by the Australian Research Council to support the training of Early Career Researchers.

    Key Dates

    24 February

    Applications open

    4 April

    Applications close

    28 April         

    Applicants notified of outcomes

    17-19 June

    Workshop

    Enquiries

    Annabella McHugh (annabella.mchugh@unsw.edu.au)

    Phone: +61 2 9931 9202    

    Accommodation Options

    University House

    http://www.anu.edu.au/unihouse/

    Rydges Lakeside

    http://www.rydges.com/hotel/RACANB/Rydges-Lakeside-Canberra.htm

    Novotel Canberra

    http://www.accorhotels.com/gb/hotel-2796-novotel-canberra/index.shtml

  • Read more... http://www.cepar.edu.au/events.aspx

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