Biography
Associate Professor
BSc (UPEI); MMath, PhD (Waterloo)
Dr. Michael McIsaac's research interests include the development and application of statistical methods for health studies. Dr. McIsaac works collaboratively with physicians and epidemiologists in the design and analysis of studies related to, among other things, cancer, rheumatology, vasculitis, retinal diseases, dental readiness, adolescent health, and mental health. His specific areas of interest include statistical methods for efficient two-phase study designs and for the analysis of incomplete data.
Dr. McIsaac is very interested in Statistics education and pedagogy; he often participates in conferences and workshops on Statistics education and earned a Certificate in University Teaching from the University of Waterloo's Centre for Teaching Excellence. He is also actively involved in service to the international Statistics community. He is a regional representative on the Board of the Statistical Society of Canada and has previously served as a member of ENAR's Council for Emerging and New Statisticians (CENS), as a member of the steering committee for CENS, and as the chair of the Statistical Society of Canada's Committee on New Investigators.
Recent Publications
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A novel application of a data mining technique to study intersections in the social determinants of mental health among young Canadians
- SSM - Population Health, 2021
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Imputing accelerometer nonwear time in children influences estimates of sedentary time and its associations with cardiometabolic risk
- International Journal of Behavioral Nutrition and Physical Activity, 2019
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Distance to specialist medical care and diagnosis of obstructive sleep apnea in rural Saskatchewan
- Canadian Respiratory Journal, 2019
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The impact of drug coverage on viral suppression among people living with HIV in Ontario, Canada
- Canadian Journal of Public Health, 2018
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Do chiropractors undertake weight loss interventions?
- Journal of Manipulative and Physiological Therapeutics, 2018
Research Classification
- no classification