CCEB Seminar- Grace Y. Yi, PhD

"Analysis of Prostate Cancer Imaging Data with Measurement Error" Grace Y.Yi, PhD Professor Department of Statistics and Actuarial Science University of Waterloo   Grace Yun Yi is a professor at the University of Waterloo, Canada, where she holds a University Research Chair in Statistical and Actuarial Science. Her research concerns event history analysis with missing data and its applications in medicine, engineering, and social science.Abstract: Technological advances associated with data acquisition are leading to the production of larger and more complex data sets. While the abundant volume of data presents great opportunities for researchers to extract useful information, big data present great challenges. A very important, sometimes overlooked concern is the quality and provenance of the data. In this talk, I will discuss some issues induced from data with measurement error. The discussion will particularly focus on a prostate cancer imaging study conducted by London Health Science Center, Ontario, Canada. One of the study objectives is to predict cancer outcome of the prostate units  using multiple in-vivo images. However, standard statistical methods are inapplicable for this  purpose, because prostate cancer imaging data are typically error-contaminated; a major source of the error comes from the alignment of in-vivo images and the ex-vivo histological images. I will discuss methods of accommodating measurement error effects into building a valid predictive  model for analyzing the prostate imaging data.