Joel Dubin

After completing his masters degree in Applied Statistics at Villanova University in 1993, Professor Joel Dubin worked at Veteran Affairs Health Services and Research in Houston, Texas; and at the University of Texas M.D. Anderson Cancer Center, also in Houston.

He then went on to receive his Ph.D. in Statistics from the University of California at Davis in 2000, after which he worked as an Assistant Professor at the Yale University Department of Epidemiology and Public Health in the Division of Biostatistics, forging several collaborations with researchers in public health and medicine at Yale, some of which continue today.

Professor Joel Dubine arrived as an Associate Professor at the University of Waterloo in 2005, with a joint appointment in the Department of Statistics and Actuarial Science, and the Department of Health Studies and Gerontology, the latter which is now the School of Public Health and Health Systems. His primary research interest is in the area of methodological development in longitudinal data analysis, including for multivariate longitudinal data, where more than one outcome, (e.g., systolic and diastolic blood pressure) are each followed for individuals over time. Methods pursued for this type of data include the correlation of different longitudinal outcomes over time using curve-based methods, and incorporating lags and derivatives of the curves. I am also interested in change point anlatent response models for longitudinal data, as well as prediction models, including the consideration of similarity to improve prediction accuracy.

Joel also works in a variety of application areas, including nephrology, cancer, smoking cessation, intensive care, nutrition, aging, and environmental issues.