Fang Zhang is an Assistant Professor in the Department of Population Medicine. His primary research interests are in developing and applying statistical methods for post-marketing drug utilization. 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 involved in evaluating the impact of various policies including Part D and high deductible health plans.