"The Epidemiological Statistics course includes a range of topics from calculating relative risk to meta-analysis. The instructor took the time to ensure all students were able to do the assignments and the course readings included useful references. I would recommend this course for anyone who is working in population and public health and uses epidemiological methods in their employment."
"The courses that provided me the greatest benefit included the Population Health and Geographic Information Systems (GIS), and Spatial Epidemiology and Outbreak Detection.
Using the GIS and SAS skills that I learned from the PHDA program, I was able to create a Normalized Difference Vegetation Index (NDVI) layer using GIS software, which showed peak greenness for the entire country over a ten-year period. Using this data and other administrative databases a team of researchers led by Dr. Dan Crouse and myself, conducted a research study that looked at how living by residential greenspace can impact longevity."
My MSc supervisor recommended them based on the learning goals I had for my Master’s degree. UBC doesn’t offer anything like it, so we needed to look for partner institutions.
I completed the PHDA 03 Population Health and GIS and PHDA 04 Spatial Epidemiology and Outbreak Detection courses. By taking these courses, I developed an understanding of how to overlay multiple sources of data onto a geographic region (from city, to country, to continent). I developed an understanding of questions to consider in how I represent this information to the audience, so that bias in how it is represented is minimized. I developed an understanding of not only how descriptive statistics can be geographically interpreted, but also how inferential statistics can be geographically interpreted. It taught me how to begin thinking spatially in-terms of patterns of health outcomes – neighbourhood make up, neighbourhood location, infrastructure, environmental concerns, etc.
As part of my thesis.
The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The SRTL and labs made the hands-on learning REALLY effective and stress free. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRTL. The labs were very smooth and impactful.
Yes. I would say that future students should explore the labs as much as possible. To really forefront the learning that you get out of that. The lecture material and prep material is abstract, but if you can focus most of your time on the labs, you can experiment and learn a lot.
"I think the highly trained, expert instructors, who are approachable and provide excellent feedback are a major strength. Certainly, the small class sizes allow for that individualized feedback and a continual dialogue with instructors in the discussion boards as well. I think the Moodle course site is very easy to use, and in general, the courses were very well organized.
Through the program, I came to learn about the enormous benefits of using already-collected administrative health data, and the process for doing so. I think my skills with SAS and ArcGIS will be the most useful to me, but the larger concepts of data integrity, (PHDA 01), what type of analysis is used in certain situations (PHDA 02), and considerations when doing spatial analysis (PHDA 04) are immensely important as well."
"Although I have experience in the area of Population Health, I had no formal training working with layered data sets. The Working with Administrative Data course was good as it included making a data dictionary and use of admin data. One of my ongoing projects at work involves assessing trends in surgery wait times for lung cancer patients. This work involved analysis of local data as a pilot project looking for trends in regional variations; I used techniques learned in PHDA 01 to facilitate this analysis. I am happy that I took PHDA 01 before PHDA 02 as I didn’t have strong SAS skills and PHDA 01 includes an introduction to SAS skills from the very beginning."
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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