Michael Rotondi

Faculty & School/Dept.

Faculty of Health - School of Kinesiology & Health Science

Degrees

Ph D - 2010
University of Western Ontario
Canada

M Sc - 2006
Carleton University
Canada

B Math - 2005
Carleton University
Canada

Selected Publications

Rotondi MA, Jubinville D, McConkey S, Wong O, Avery L, Bourgeois C, Smylie J. Community-based participatory research and respondent-driven sampling: A statistician’s, community partner’s and students’ perspectives on a successful partnership. In Woolford D, Kotsopolos D, Samuels B (Eds.), Applied Data Science: Data Translators Across the Disciplines (pp. 55-67). Springer, 2023.

Avery L, Rotondi M. Evaluation of respondent-driven sampling prevalence estimators using real-world reported network degree. Sociological Methodology. 2023; 53(2): 269-287.

Rotondi NK, Rudoler D, Hunter W, Sanusi O, Collier C, Rotondi M. Using a midterm warning system to improve student performance and engagement in an introductroy statistics course: A randomized controlled trial. Statistics Education Research Journal. 2023; 22(3):2.

Smylie J, McConkey S, Rachlis B, Avery L, Mecredy G, Brar R, Bourgeois C, Dokis B, Vandevenne S, Rotondi MA. Uncovering SARS-COV-2 vaccine uptake and COVID-19 impacts among First Nations, Inuit and Métis Peoples living in Toronto and London, Ontario. CMAJ. 2022; 194(29):E1018-26.

Rotondi MA, Wong O, Riddell M, Perkins B. Population-level impact and cost-effectiveness of continuous glucose monitoring and intermittently scanned continuous glucose monitoring technologies for adults with type 1 diabetes in Canada: a modeling study. Diabetes Care. 2022; 45(9):2012-9.

Avery L, Maddox R, Abtan R, Wong O, Rotondi NK, McConkey S, Bourgeois C, McKnight C, Wolfe S, Flicker S, Macpherson A. Modelling prevalent cardiovascular disease in an urban Indigenous population. Canadian Journal of Public Health. 2022; 9:1-13.

Avery L, Rotondi M. More comprehensive reporting of methods in studies using respondent driven sampling is required: a systematic review of the uptake of the STROBE-RDS guidelines. Journal of Clinical Epidemiology. 2020; 117:68-77.

Farmus L, Cribbie RA, Rotondi MA. The flipped classroom in introductory statistics: Early evidence from a systematic review and meta-analysis. Journal of Statistics Education. 2020; 28(3):316-325.

Avery L, Rotondi N, McKnight C, Firestone M, Smylie J, Rotondi M. Unweighted regression models perform better than weighted regression techniques for respondent-driven sampling data: results from a simulation study. BMC Medical Research Methodology. 2019; 9(1):202.



Rotondi MA, O’Campo P, O’Brien K, Firestone M, Wolfe SH, Bourgeois C, Smylie JK. Our Health Counts Toronto: using respondent-driven sampling to unmask census undercounts of an urban indigenous population in Toronto, Canada. BMJ Open. 2017; 7(12):e018936.

Supervision

Currently available to supervise graduate students: Yes

Currently taking on work-study students, Graduate Assistants or Volunteers: Yes

Available to supervise undergraduate thesis projects: No

Current Research

Working in partnership with Indigenous health service partners for over 10 years, Dr. Rotondi's primary research area is the development and application of new statistical methods, specifically respondent-driven sampling, to improve the health of First Nations, Inuit and Métis Peoples living in urban areas.  

Recent projects include co-leading a CIHR-funded study to measure the rates of testing, incidence and vaccination for COVID-19 in First Nations, Inuit and Métis Peoples living in Toronto, London, Thunder Bay and Kenora throughout the COVID-19 pandemic.   Currently, he is co-leading a CIHR-funded project to develop meta-analysis techniques to combine the results from several urban Indigenous health databases that used respondent-driven sampling in a valid way.  Where appropriate, this approach will provide Indigenous community partners a more precise, overall understanding of the health of First Nations, Inuit and Métis Peoples living in Canadian cities.

In 2024, he was awarded a Canadian Institutes of Health Research (CIHR) and Public Health Agency of Canada (PHAC) Applied Public Health Chair to further support the Indigenous partners’ research priorities. These include developing the most accurate population counts of Indigenous Peoples living in cities, and measuring the long-term impact of the COVID-19 pandemic on chronic health and mental health outcomes in Indigenous Peoples living in urban areas.

Dr. Rotondi also leads and contributes to studies in other biostatistical and public health areas, including type 1 diabetes, burn injuries, clinical trials, systematic reviews, and studies in statistical education and training.