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Joel Dubin is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. He received his PhD in Statistics from the University of California at Davis in 2000, after completing his master's degree in Applied Statistics at Villanova University in 1993. He has worked at Yale University as an assistant professor in the Division of Biostatistics and has forged numerous collaborations with researchers in public health and medicine. His research primarily focuses on methodological development in longitudinal data analysis, particularly concerning multivariate longitudinal data and the predictive modeling of health outcomes based on time-dependent variables. Professor Dubin's expertise spans various application areas, including intensive care, electronic health records, mobile health, child health, nephrology, and cancer research. He has published extensively in leading statistics and medical journals, contributing significantly to the field of biostatistics and health data science through his innovative research and methodologies.
University of Waterloo • Waterloo, ON, Canada
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.