José R. Zubizarreta, PhD

Bio

José Zubizarreta, PhD, is Professor in the Department of Health Care Policy at Harvard Medical School, Professor in the Department of Biostatistics at Harvard School of Public Health, and Faculty Affiliate in the Department of Statistics at the Faculty of Arts and Sciences at Harvard University.  His work centers on the development of statistical methods for causal inference and impact evaluation to advance research in health care and public policy.  In his methodological work, Dr. Zubizarreta is broadly interested in the design and analysis of randomized experiments and observational studies.  In his health care work, he is interested in assessing the quality of care provided by hospitals and physicians using health outcomes and operations measures.  His research interests also encompass comparative effectiveness research and health program impact evaluation. 

Dr. Zubizarreta received his PhD in statistics at The Wharton School at the University of Pennsylvania in 2013, focusing on optimal designs for observational studies using mathematical programming, with applications to health care and policy.  As a doctoral student, he was honored with the J. Parker Memorial Bursk Prize for excellence in research and a President Gutmann Leadership Award.  He was a Fulbright Scholar and has also received several student and young investigator awards from the American Statistical Association (ASA), including awards from the Biometrics, Epidemiology, Health Policy Statistics, and Social Statistics, Government Statistics and Survey Research Methods Sections of ASA.  He has also been a recipient of the Tom Ten Have Memorial Award for “exceptionally creative or skillful research on causal inference” at the Atlantic Causal Inference Conference. 

Dr. Zubizarreta’s methodological research has been published in the Journal of the American Statistical Association, the Annals of Applied Statistics, the American Statistician, the Journal of Computational and Graphical Statistics, Statistics in Medicine, the Journal of the Royal Statistical Society, and Biometrika. His research in medicine and healthcare has appeared in the Journal of the American Medical Association, the Annals of Surgery, and the Journal of Perinatology, among others.  His work has been awarded the Kenneth Rothman Award for the best publication in Epidemiology in 2013 and the William Cochran Award for the best paper published in Observational Studies in 2015-2019.  Dr. Zubizarreta’s methodological research has been funded by the Alfred P. Sloan Foundation and the Patient-Centered Outcomes Research Institute (PCORI).  He has written several software packages making his statistical methods widely available.

Dr. Zubizarreta currently serves as co-editor of the Handbook of Matching and Weighting in Causal Inference (Chapman & Hall/CRC) and associate editor for Biometrics, the Journal of Computational and Graphical Statistics, and Observational Studies.  Dr. Zubizarreta teaches the graduate course Design of Experimental and Non-experimental Studies at the Faculty of Arts and Sciences at Harvard University.  Before joining HCP, Dr. Zubizarreta was an assistant professor in the Division of Decision, Risk, and Operations and the Department of Statistics at Columbia Business School, where he taught MBA and PhD students basic and advanced courses in statistics.

CV

Curriculum Vitae