"I found PHDA 05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses."
"I found PHDA 05 (Longitudinal Analysis and Multi-level Modelling of Population Health Data) to be the most rewarding as it exposed me to higher level quantitative analyses."
"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."
"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."
"The flexibility of timing due to the entirely online nature of the program stood out to me. I could work on things when I had the time, which I think is a great feature for people who are generally working full time. I also liked the mix of discussion and individual assignments in the courses; getting to hear others’ opinions and experiences was very useful."
"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."
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