Statistics Analysis for Health Data
- Class Semester:
- Winter 2024
- Date Range:
- Jan 19, 2024 - Mar 01, 2024
- Class Dates:
- Friday, January 19 - March 1: 6:30 p.m. - 9:30 p.m. (Virtual)
- Vidhi Thakkar
- This is a professional development; non-credit course. This course is offered as a virtual classroom with classes held, as per the scheduled day/time. Classes will be held online, using a combination of synchronous, real-time, instructor led sessions, supplemented with asynchronous activities. You should expect to attend class at the same time, each week, although not every session will be a full 3 hours of live instruction. Rather, classes will provide learners the opportunity to apply what has been covered by your course facilitator. Participants must bring a laptop to the class.
Vidhi Thakkar has completed her PhD in Health Policy from the Institute of Health Policy Management and Evaluation. Vidhi is a recipient of the CIHR Health Systems Impact Fellowship, where she is a leading a project on supporting caregivers in the BC Healthcare system. Vidhi also received a Masters of Science in Experimental Surgery from McGill University and her Bachelor of Health Sciences (Honours) at McMaster University.
She has worked for more than 7 years in the health system with organizations with provincial Ministries of Health, hospitals, several universities, and Cancer Care Ontario. Her research interests include evidence-informed policy making, health informatics, health data, patient engagement, and health care accountability.
Vidhi was actively involved with the Canadian Association of Health Services and Policy Research and was also a board member for the Justice Emmett Hall Foundation. She has also won the Gordon Cressy Leadership Award at the University of Toronto. Vidhi currently teaches HTH 110: Health Informatics Data Analysis, HTH 400: Epidemiology, and HDA 102 and HDA 103 in the Health Analytics program. She brings to the Department her expertise in student advising, student leadership development, and Health Data Analytics.