PHDA testimonials

If you would like to specify which course(s) you would like to see testimonials for, you may do so by selecting the course(s) from the list below and hitting the APPLY filter button. You may select more than one course. Otherwise, the testimonials are listed below, in random order.

PHDA 03 Population Health and Geographical Information Systems

"This course is a rich and nuanced exploration of the interplay of spatial associations between population health and exposure to multiple risk factors including pathogen/toxin load, socio-economic influences and ‘built environment’ indices. Well-paced and supported ‘labs’ move from mapping skills and associated ethics to the use of spatial statistics in assessing distribution in population health. Required readings are current and wide-ranging. The final project provides a wonderful opportunity to use acquired tools to explore in depth a personal research project of interest.

I highly recommend this course to all in population health – from analysts and city planners to physicians and veterinarians. The power of GIS to put “place” into the population health equation is a powerful tool. This course illuminates this exceptionally."

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 Overall program/course experience

"The program’s strength emerged from how the courses were offered sequentially (eg: PHDA 03 and then PHDA 04) and the incorporation of Lab work into the course curriculum which provided the opportunity for more practical knowledge to be gained. Another strength is the friendly learning environment and willingness of the instructors to go an extra mile to assist students to understand concepts and course materials."

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PHDA full testimonial

How did you learn about the program and what motivated you to enroll?: I learned about the PHDA program from the Director of the Social Dimensions of Health while I was taking the program at UVic. I was interested in the PHDA courses as a way to expand my skill set, enhance my knowledge of statistical software programs and gain practical skills to assist me with my PhD dissertation.
Tell us about your course experience. What skills did you develop and which courses provided the greatest benefit to you?: I enjoyed all the courses and the practical skills they provided especially with statistical software such as SAS, Mplus, and ArcGIS. I think I gained the most benefit from the PHDA 05 course and the PHDA 03 course. The PHDA 05 in Longitudinal Analysis and Multilevel modeling helped me gain skills in Mplus software and get an introduction to modeling. This work was very helpful in preparing me for a more advanced longitudinal modeling credit course I took at UVic last year. The PHDA 03 course in Population Health and GIS introduced me to a brand new subject area as well as practical skills in the use of ArcGIS.
How have you been able to (or how do you plan to) apply your new skills in your work/research?: I have been able to use the applied skills I learned in my role as a research assistant to help with grant applications. I will also be able to use these skills in the development of my dissertation. I plan to document the statistical software and analytic skills I have learned in all the PHDA courses on my CV. I know these skills will make me more marketable for future job opportunities.
What do you think were the strengths of this program? Please provide examples.: The program has given me valuable skills and practice in a variety of statistical software. The PHDA program team including professors, IT and admin staff were all very helpful and a very supportive part of my program experience. I also enjoyed studying with fellow colleagues who had a broad range of work and research skills. The calibre of student in all my PHDA courses was very impressive and many were very willing to share their knowledge and analytic expertise. For this reason I really benefited from the partner and group work in many of the courses. Although the online format of the courses came with some weakness (as you don’t get to connect with people in person), I really appreciated how the asynchronous delivery provided flexibility to work and take courses at the same time. I also appreciated having transcripts of all the course video presentations for easy reference.
Would you recommend this program to others? If so, what recommendations/suggestions would you give those interested in applying to this program?: I have and do recommend this program to others. Some of my colleagues, whose work focuses more on qualitative rather than quantitative data, are a bit intimidated to consider the PHDA courses. For others who feel the same way I would certainly recommend Working with Administrative Data (PHDA 01) as a course that any research student would benefit from. I would also suggest that program applicants try to take PHDA 01 and PHDA 02 prior to PHDA 05. Although you can take courses in any order, I found the PHDA 05 course in Longitudinal Analysis and Multi-level modeling to be the most advanced level PHDA course I took.

PHDA 01 Working with Administrative Data

"The Working with Administrative Data course covered a wide range of topics from ethical and privacy issues encountered when using administrative data for research to data management of complex datasets. The instructors ensured all students were able to do the assignments using SAS. Their support has helped me build skills that I now often use at work. The training datasets were also useful in building applied skills when using administrative data to answer research questions. I would recommend this course for anyone who is working in population and public health and uses administrative data in their job."

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PHDA testimonials

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