The general aim of the 3-day workshop was to familiarize participants with analytical capabilities required for working with microdata files of Statistics Canada’s Health Division.
February 21 (Medical Sciences Building room 148) - The presentations and discussions covered the objectives, methodology, questionnaire content, and dissemination plans of the following:
- The Canadian Community Health Survey (CCHS)
- National Population Health Survey (NPHS)
- Canadian Health Measures Survey (CHMS)
- Health Indicators Program
February 22 (Kresge Building Room K7) – The hands-on workshop provided an overview of the various considerations to be taken into account when using the National Population Health Survey (NPHS) data. It also provided participants an understanding of the bootstrap method of variance estimation using Bootvar.
February 23 (Kresge Building Room K7) - Using data gathered through NPHS, the hands-on workshop familiarized participants with different longitudinal data analysis methods to better address research questions on change and event occurrence. The workshop emphasized the importance of taking into account the survey design when analyzing data.
The workshop materials included slide presentations and worksheets. The workshop was “green” in that much of the materials were sent to participants in electronic version prior to the workshop. All the participants brought in their laptops to the workshop.
The work stations in the workshop venue (Room K7 at the Kresge Building) have SAS 9.1, the statistical package that was used for the training. A CD containing the synthetic longitudinal data file of the National Population Health Survey was provided to each participant. The data file was used by the instructors to illustrate the various statistical methods, and by the participants to practice on the techniques.