معرفی
Dr. Cecilia Cotton is an Associate Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. Her research focuses on developing statistical methods for longitudinal data analysis with applications in public health. She specializes in causal inference techniques for evaluating dynamic treatment regimens using observational data, particularly in chronic kidney disease management. Her methodological work addresses challenges in survival analysis, recurrent events modeling, and handling incomplete data in clinical studies.
Her applied research examines medication patterns in vulnerable populations, including psychotropic drug use among assisted living residents during the COVID-19 pandemic and cost-effectiveness of cancer predisposition screening in pediatric oncology survivors. She maintains collaborations with healthcare researchers studying opioid prescribing patterns, geriatric pharmacotherapy, and long-term care outcomes.
