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Julie Horrocks is a Professor Emerita in the Department of Mathematics and Statistics at the University of Guelph. Her research focuses on developing and applying statistical models to data arising in medical research. She emphasizes methods for longitudinal data analysis, including joint models that quantify the effects of longitudinal growth over time. Her work addresses challenges posed by missing data and employs techniques to account for spatial correlation in models. An expert in spatial epidemiology, she has contributed to the estimation of animal abundance using spatial data techniques. Horrocks has guided numerous students in statistical careers, with many securing positions as data analysts in various sectors including healthcare, business intelligence, and government agencies. She holds a PhD from the University of Waterloo, where her dissertation was centered around joint models for survival analysis. Throughout her career, she has published extensively on statistical methodologies, emphasizing studies in psychology and medical statistics. In addition to her teaching and research, she has maintained high professional standards, holding a Professional Statistician (P.Stat) designation from the Statistical Society of Canada since 2012, which indicates her expertise in statistical analysis and ethics.
Department of Clinical Studies. Offers MSc by thesis (2 years) and MSc by coursework (1 year).