Dr. Roee Gutman is an Associate Professor in the Department of Biostatistics at Brown University. His areas of expertise are causal inference, file linkage, missing data, Bayesian data analysis and their application to big data sources in health services research. Dr. Gutman has been involved in many comparative effectiveness studies where he contributed to statistical theory and its implementation. He brings vast experience in analyzing many types of secondary datasets from various sources (e.g. Medicare claims data, registries, VA health data), as well as designing and analyzing large pragmatic cluster randomized trials. Dr. Gutman has been the lead statistician on multiple NIH and VA grants, and he has received two PCORI methods award—one to provide guidelines for estimation of multiple treatment effects in observational studies, and another to develop methods to link records without unique identifiers. He has served on multiple PCORI, NIH and CDRMP review panels