Roee Gutman
Council Member
Roee Gutman is an Associate Professor of Biostatistics at Brown. Dr. Gutman’s areas of research interest are Bayesian data
analysis, missing data, matching, file linkage, causal inference and bioinformatics. His work in matching and file linkage
addresses problems with combining administrative and clinical data having common elements in which privacy regulations limit
access to unique identifiers. Dr. Gutman uses missing data techniques to assess uncertainty in the match probabilities and
thus develops statistically valid procedures. His work in causal inference seeks to obtain valid comparisons of
non-randomized interventions that appropriately adjust for differences in baseline covariates by applying advanced
regression modeling techniques to multiply impute the missing potential outcomes. He has applied these methods for linking
causes of deaths from vital statistics mortality files with end-of-life medical costs obtained from Medicare and Medicaid
Services and to link release records of HIV+ prisoners with Ryan White clinical records, as well as to compare opioids and
NSAIDS after motor vehicle crashes, estimate effects of bed-hold policy in nursing homes on mortality and hospitalization
and estimate the effect of erythropoietin-stimulating agents on patients with end-stage renal disease. Dr. Gutman was
granted a PCORI award to develop methods to estimate causal effects with multiple treatments, and he was recently granted a
PCORI award for developing statistical method to estimate causal and non-causal relationships with linked data sources. He
has also been funded by the NIH, VA and NSF. Dr. Gutman have been the primary advisor for seven biostatistics PhD students,
four biostatistics Masters students and over 30 undergraduate students.
Roee received his Ph.D. from the Department of Statistics at Harvard University. His advisors were Professor Donald Rubin
and Professor Jun Liu. Roee received a BS with Honors in Statistics, Operations Research and Computer Science from Tel Aviv
University (TAU) in 1999. He went on to receive a MS in Applied Statistics with Special Honors under the supervision of
Professor Yossef Hochberg from TAU.
