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 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"The courses I found to be of greatest benefit to me and my work were PHDA 01 (Working with Administrative Data) and PHDA 05 (Longitudinal Analysis and Multi-level Modeling of Population Health Data). These courses provided practical skills that I find I apply regularly to my job, and made me much more comfortable with using data analytic programs like SAS."

Sarah Costa, Health Economist, Canadian Centre for Applied Research in Cancer Control, BC Cancer Agency

 

PHDA 03 Population Health and Geographical Information Systems
"The PHDA 03 course involved a lot of work, but was structured in a way that it was easy to work through each module. The instructor provided step by step instructions for each module about how to use ArcGIS. By the end of the course, I went from someone with zero experience in GIS to someone who can understand how to interpret maps, basic tools in ArcGIS, and how to apply GIS to public health issues."

Jenn Dixon, Research Associate in the field of Population and Public Health

 

PHDA full testimonial
How did you learn about the program and what motivated you to enroll in the PHDA course(s) you chose?

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?

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?

As part of my thesis.

What do you think were the strengths of this program? Please provide examples.

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?

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.

 

Allyson Rayner, Curriculum Consultant

 

PHDA 06 Health Services Program Monitoring and Evaluation
"The PHDA 06 evaluation course was the most useful to me as it is something I'd like to incorporate into my future research much more."

Karyn Fulcher, Postdoctoral Fellow

 

PHDA Overall program/course experience
"The skills learned in this programme are highly and directly relevant to my doctoral research, and are being used on a near-daily basis. For example, I use both SAS and GIS to analyse various administrative data sets, and have found that the statistical background gleaned from this programmes has enabled me to read more critically and use more sophisticated analyses in my own work.

The diversity of courses is an immediate strength, as is the online format. Every instructor was highly engaged and enthusiastic, and was happy to have discussions about course material and further topics via e-mail."

Blake Walker, PhD Candidate

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