Design and analysis of intervention studies and prognostic models (including neural network and tree-based models), with a focus on applications in biomarker research, occupational studies, critical care medicine, kidney and liver transplant, and polycystic kidney disease; propensity score-based methods and other methods for causal inference in nonrandomized studies and comparative effectiveness; and data coordination of multi-site studies.
Doug Landsittel, PhD, earned his BS in Applied Mathematics (1992) and PhD in Biostatistics (1997) from the University of Pittsburgh, where he also served as the Associate Director for the Biostatistics Facility of the Cancer Institute (now Hillman Cancer Center) and the Associate Director for the Center for Research on Healthcare Data Center, as well as the Director of Biostatistics (for Research) for the Starzl Transplant Institute, and the Lead Methodologist for the Comparative Effectiveness Research Center. He also served as a Team Leader, Acting Branch Chief, Senior Statistician, and Senior Fellow across three different Divisions/Labs of the CDC National Institute for Occupational Safety and Health. Before joining the University at Buffalo (in February, 2024), he was the Department Chair of Epidemiology and Biostatistics and the James A. Caplin, M.D. Chair in Evidence-Based Medicine for the School of Public Health, Indiana University-Bloomington.