Max Rady College of Medicine
Community Health Sciences
S113 - 750 Bannatyne Avenue
University of Manitoba
Winnipeg, MB, R3E0W3
Cross appointments held:
Dr. Jiang has provided leadership in statistical consulting service, served on a variety of committees, chaired research rounds and roundtable discussions, and played an active role in service and administrative work. As an academic member, these services have been undertaken to advance research, enhance a student research environment, improve our graduate program, and improve the health and health services of population in the province, nationally and internationally.
A good mentor helps trainees find their own strengths rather than turning them into a clone of the mentor. This involves caring about and respecting their personal development. This also involves providing space and independence to carry out their own interests of research and giving constructive feedback on a regular basis.
Dr. Jiang’s research focus is to develop biostatistics methods and promote the use of advanced statistical methods for health service research and program evaluation. His research interests include:
(1) longitudinal data analysis and multilevel models;
(2) person-oriented statistical approaches (e. g., latent class analysis and growth mixture models);
(3) structural equation models;
(4) clinical trial design and impact evaluation.
Dr. Jiang has made significant contribution to statistical methods for missing data and advanced statistical models for multilevel and longitudinal data.
Dr. Depeng Jiang is an Associate Professor in Biostatistics in the Community Health Sciences in the Max Rady College of Medicine at the University of Manitoba.
He also leads the Biostatistics Group in the data science platform of George & Fay Yee Centre for Healthcare Innovation (CHI).
Dr. Jiang has worked as a PhD statistician at St Michael's Hospital (2007-2010), LaMarsh Centre for Child & Youth Research at York University (2004-2017).
He has well-established relationship through years of collaboration with multidisciplinary researchers and policy-makers. He has consolidated and made available his program of research to local, national and international venues, while providing training on advanced statistical methods for students, researchers and faculty members from different subject area. Application of these statistical methods has not only provided the necessary evidence to support decision making, but also significantly increased researchers and trainees’ chances of success in journal publications and grant competition, as well as transformed their abilities to do research.
PhD, Applied Statistics, Southeast University (2001)
MSc, Applied Statistics, Southeast University (1991)
BSc, Mathematics, Jiangsu Second Normal University (1987)