Department of Statistics and Actuarial Science
University of Waterloo
CANADA N2L 3G1
(519) 888-4567, ext.35110
FAX: (519) 746-1875
Office: M3 4228
Professor Yi's research interests focus on developing statistical methodology for event history analysis in fields such as chronic disease, clinical trials, and epidemiology. Many of the problems are motivated by challenges arising in health research, but the developed methods have a bearing on many diverse fields including demography, engineering, sociology, and survey research.
Standard statistical inference methods often require associated variables be "perfectly" measured. However, in reality, collected data are usually far from "perfect". Longitudinal studies, for instance, are commonly designed to collect data on every individual in the studies at each assessment, but missing observations frequently arise due to various reasons. Measurement error, on the other hand, is another typical feature associated with data. These features present considerable challenges in developing valid inferential procedures. Professor Yi's recent research has been particularly centering on various problems concerning missing data or measurement error in variables.
Professor Yi received her Ph.D. in statistics in 2000 from the University of Toronto, and then joined the University of Waterloo as a Post-Doctoral Fellow (2000-2001). She was Assistant Professor (2001-2004), Associate Professor (2004-2010), and now is Full Professor (2010- ). Professor Yi is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first fifteen years after having received a doctorate. She was a recipient of the prestigious University Faculty Award granted by the Natural Sciences and Engineering Research Council of Canada. She serves as an Associate Editor for The Canadian Statistics Journal and The Journal of Applied Probability and Statistics. She is a member of the American Statistical Association, the Statistical Society of Canada, the Eastern North American Region of the Biometrics Society, and the International Chinese Statistical Association.