PHDA testimonials

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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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PHDA 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"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."

Abe Hafid, Statistical Analyst

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PHDA Overall program/course experience
"I would like to recommend PHDA courses to others. I believe the program is very practical and useful to those working in the public health field. It provides a good opportunity for the development of a future career plan.

I learned how to use several popular software programs such as SAS, R, ArcGIS and Mplus. All of them are very helpful. The PHDA 06 course about Health Services Program Monitoring and Evaluation helped me evaluate my work program. "

Wenti Xu, Data Analyst

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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 05 Longitudinal Analysis and Multi-level Modeling of Population Health Data
"I plan to undertake some mapping of hotspots where illicit drug use is most common. For my interests at this time, I found the longitudinal data analysis course (PHDA 05) and geocoding skills in (PHDA 03) were the most helpful. This is because with increasing use of multiple drugs it is important to determine where outbreaks occur and be able to establish cohorts of people who use these substances and then follow over time determining predictors of change."

Lucinda Burns, Associate Professor, Faculty of Medicine, University of New South Wales

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