Dylan Small

Dylan Small is a Professor in the Department of Statistics and Data Science at the University of Pennsylvania's Wharton School. His research focuses on applications of statistics to public health, design and analysis of experiments and observational studies for comparing treatments, longitudinal data, measurement error, medicine, and economics. He teaches courses on causal inference, observational studies, and community data science. Small's work includes contributions to biostatistics, epidemiology, and methods for analyzing complex data structures. His research has been published in leading journals such as the American Journal of Epidemiology and Statistical Science.

Dylan Small is a Professor of Statistics at the University of Pennsylvania, specializing in causal inference and its applications to public health, medicine, and public policy. His research focuses on developing and applying statistical methods to evaluate causal relationships in observational and experimental studies. Small's work includes instrumental variable methods, Mendelian randomization, and non-parametric approaches for causal inference. He has published extensively on topics such as financial incentives for health behavior, randomized trials in healthcare, and statistical power in clinical studies. His research bridges statistical theory with real-world applications in public health and policy.