"Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that online learning offers."
PHDA testimonials
PHDA Overall program/course experience
PHDA 02 Epidemiological Statistics
"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."
PHDA full testimonial
- How did you learn about the program and what motivated you to enroll in the PHDA course(s) you chose?
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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.
- Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?
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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.
- How do you plan to apply your new skills in your work/research?
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As part of my thesis.
- What do you think were the strengths of this program? Please provide examples.
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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.
- Would you recommend PHDA courses to others? If so, what recommendations/suggestions would you give those interested in completing these courses?
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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.
PHDA 01 Working with Administrative Data
"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."
PHDA 04 Spatial Epidemiology and Outbreak Detection
"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 labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRLT. The labs were very smooth and impactful."
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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