Fang Zhang is an Assistant Professor in the Department of Population Medicine. His primary research interests are in developing and applying statistical methods for health services research. His areas of expertise are interrupted time series methods for health services and policy research, Bayesian data mining methods in drug safety research, and simulation-based methods in both fields. He has developed methods to estimate the confidence intervals of level and slope changes in interrupted time series analyses and also methods to estimate power and sample size for interrupted time series studies. His main effort is devoted to collaborative work with other investigators. Currently he is a co-investigator for several studies evaluating the impact of high deductible health plans as well as federal, state and regional health policies for various populations using large claim databases. He is also actively involved in obesity research.