Jos´e R. Zubizarreta                                                          Curriculum Vitae
                Department of Health Care Policy           Phone (work): 617-432-1266
                Harvard Medical School, Harvard University Fax: 617-432-3503
                180 Longwood Ave, Office 307-D               Email: zubizarreta@hcp.med.harvard.edu
                Boston, MA 02115                           Webpage: https://scholar.harvard.edu/zubizarreta
                Academic appointments
                      Harvard University
                             Professor, Department of Health Care Policy, Harvard Medical School, 2022–
                             Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health, 2022–
                             present
                             Faculty Affiliate, Department of Statistics, Faculty of Arts and Sciences, 2017–present
                             Faculty Affiliate, Harvard Data Science Initiative, 2020–present
                             Faculty Affiliate, CAUSALab, Harvard T.H. Chan School of Public Health, 2021–present
                             Associate Professor, Department of Health Care Policy, Harvard Medical School, 2018–2022
                             Associate Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health,
                             2020–2022
                             Assistant Professor, Department of Health Care Policy, Harvard Medical School, 2017–2018
                      Columbia University
                             Assistant Professor, Division of Decision, Risk, and Operations, Columbia Business School,
                             2013–2017
                             Assistant Professor (by courtesy), Department of Statistics, Faculty of Arts and Sciences,
                             2013–2017
                             Faculty Affiliate, Data Science Institute, 2014–2017
                Education
                             Ph.D. Statistics, The Wharton School, University of Pennsylvania, 2013
                             M.A. Statistics, The Wharton School, University of Pennsylvania, 2011
                             M.A. Economics, Universidad de Chile, 2008
                             B.S. Mathematical Engineering, Universidad Cat´olica de Chile, 2005; Maximum Distinction
                Publications
                      Statistical methodology
                          [1] Chattopadhyay, A., and Zubizarreta, J. R. (2022),“On the Implied Weights of Linear Regres-
                             sion for Causal Inference,”Biometrika, in press.
                                  *Dempster Student Prize, Harvard University, 2021.
                          [2] Kim, K., Kennedy, E. H., and Zubizarreta, J. R. (2022), “Doubly Robust Counterfactual
                             Classification,” Advances in Neural Information Processing Systems (NeurIPS), in
                             press.
                          [3] Cohn, E. R., and Zubizarreta, J. R. (2022), “Profile Matching for the Generalization and
                             Personalization of Causal Inferences,”Epidemiology, in press.
                                  *Young Investigator Award, Statistics in Epidemiology, American Statistical Association,
                                  2021.
                          [4] D´ıaz, J. D., and Zubizarreta, J. R. (2022),“Complex Discontinuity Designs Using Covariates:
                             Impact of School Grade Retention on Later Life Outcomes in Chile,” Annals of Applied
                             Statistics, in press.
            [5] Niknam, B., and Zubizarreta, J. R. (2022), “Using Cardinality Matching to Design Balanced
              and Representative Samples for Observational Studies,”Journal of the American Medical
              Association, 327, 173–174.
            [6] Wang, Y., and Zubizarreta, J. R. (2021),“Large Sample Properties of Matching for Balance,”
              Statistica Sinica, in press.
            [7] Bennett, M., Vielma, J. P., and Zubizarreta, J. R. (2020), “Building Representative Matched
              Samples with Multi-valued Treatments in Large Observational Studies,” Journal of Com-
              putational and Graphical Statistics, 29, 744–757.
                *International Biometric Society ENAR Student Paper Award, 2019.
            [8] Wang, Y., and Zubizarreta, J. R. (2020),“Minimal Dispersion Approximate Balancing Weights:
              Asymptotic Properties and Practical Considerations,”Biometrika, 107, 93–105.
                *American Statistical Association Biometrics Student Paper Award, 2018.
            [9] Chattopadhyay, A., Hase, C. H., and Zubizarreta, J. R. (2020), “Balancing Versus Modeling
              Approaches to Weighting in Practice,”Statistics in Medicine, 39, 3227–3254.
            [10] Resa, M. A., and Zubizarreta, J. R. (2020), “Direct and Stable Weight Adjustment in Non-
              Experimental Studies with Multivalued Treatments: Analysis of the Impact of an Earthquake
              onPosttraumatic Stress,”Journal of the Royal Statistical Society: Series A, 183, 1387–
              1410.
            [11] Miratrix, L. W., Wager, S., and Zubizarreta, J. R. (2018),“Shape-Constrained Partial Identifi-
              cation of a Population Mean Under Unknown Probabilities of Sample Selection,”Biometrika,
              105, 103–114.
            [12] Visconti, G., and Zubizarreta, J. R. (2018),“Handling Limited Overlap in Observational Stud-
              ies with Cardinality Matching,”Observational Studies, 4, 217–249.
                *William Cochran Prize for the best paper published in Observational Studies in 2015-
                2019.
            [13] Aronow, P.M., Crawford, F.W., andZubizarreta, J.R.(2018),“ConfidenceIntervalsforLinear
              Unbiased Estimators Under Constrained Dependence,” Electronic Journal of Statistics,
              12, 2238–2252.
            [14] Zubizarreta, J. R., Small, D. S., and Rosenbaum, P. R. (2018),“A Simple Example of Isolation
              in Building a Natural Experiment,”Chance, 31, 16–23.
            [15] Haneuse, S., Zubizarreta, J. R., and Normand, S. L. T. (2018), “On Assessing the Quality of
              Health Care Providers Using Time-Varying Patient Outcomes,”invited commentary, Biomet-
              rics, 74, 1395–1397.
            [16] Zubizarreta, J. R., and Keele, L. (2017), “Optimal Multilevel Matching in Clustered Obser-
              vational Studies: A Case Study of the School Voucher System in Chile,” Journal of the
              American Statistical Association, 112, 547–560.
            [17] Hirshberg, D. A., and Zubizarreta, J. R. (2017),“On Two Approaches to Weighting in Causal
              Inference,”invited commentary, Epidemiology, 28, 812–816.
            [18] Kilcioglu, C., and Zubizarreta, J. R. (2016), “Maximizing the Information Content of a Bal-
              anced Matched Sample in a Study of the Economic Performance of Green Buildings,”Annals
              of Applied Statistics, 10, 1997–2020.
            [19] Resa, M. A., and Zubizarreta, J. R. (2016), “Evaluation of Subset Matching Methods and
              Forms of Covariate Balance,”Statistics in Medicine, 35, 4961–4979.
            [20] Zubizarreta, J. R. (2015),“Stable Weights that Balance Covariates for Estimation with Incom-
              plete Outcome Data,”Journal of the American Statistical Association, 110, 910–922.
                *American Statistical Association Biometrics Student Paper Award, 2014.
                *International Biometric Society ENAR Student Paper Award, 2014.
            [21] Hsu, J., Zubizarreta, J. R., Small, D. S., and Rosenbaum, P. R. (2015), “Strong Control of
              the Family-Wise Error Rate in Observational Studies that Discover Effect Modification by
              Exploratory Methods,”Biometrika, 102, 767–782.
            [22] Keele, L., Titiunik, R., and Zubizarreta, J. R., (2015) “Enhancing a Geographic Regression
              Discontinuity Design Through Matching to Estimate the Effect of Ballot Initiatives on Voter
              Turnout,”Journal of the Royal Statistical Society: Series A, 178, 223-239.
            [23] Zubizarreta, J. R., Small, D. S., and Rosenbaum, P. R. (2014),“Isolation in the Construction
              of Natural Experiments,”Annals of Applied Statistics, 8, 2096-2121.
            [24] Zubizarreta, J. R., Paredes, R. D., and Rosenbaum, P. R., (2014) “Matching for Balance,
              Pairing for Heterogeneity in an Observational Study of the Effectiveness of For-profit and
              Not-for-profit High Schools in Chile,”Annals of Applied Statistics, 8, 204-231.
                *American Statistical Association Social Statistics, Government Statistics, and Survey
                Research Methods Sections Student Paper Award, 2013.
            [25] Yang, F., Zubizarreta, J. R., Small, D. S., Lorch, S. A., and Rosenbaum, P. R. (2014), “Dis-
              sonant Conclusions When Testing the Validity of an Instrumental Variable,”The American
              Statistician, 68, 253-263.
            [26] Zubizarreta, J. R., Cerd´a, M., and Rosenbaum, P. R. (2013), “Effect of the 2010 Chilean
              EarthquakeonPosttraumaticStress: ReducingSensitivitytoUnmeasuredBiasThroughStudy
              Design,”Epidemiology, 24, 79-87 (with discussion).
                *Kenneth Rothman Prize for the best paper published in Epidemiology in 2013.
                *Young Investigator Award, Statistics in Epidemiology, American Statistical Association,
                2012.
            [27] Zubizarreta, J. R., Small, D. S., Goyal, N. K., Lorch, S. A., and Rosenbaum, P. R. (2013),
              “Stronger Instruments Via Integer Programming in an Observational Study of Late Preterm
              Birth Outcome,”Annals of Applied Statistics, 7, 25-50.
            [28] Zubizarreta, J. R., (2012), “Using Mixed Integer Programming for Matching in an Observa-
              tional Study of Acute Kidney Injury after Surgery,”Journal of the American Statistical
              Association, 107, 1360-1371.
                *Deming Scholar Award, American Statistical Association, 2012.
            [29] Zubizarreta, J. R., Neuman, M. D., Silber, J. H., and Rosenbaum, P. R. (2012),“Contrasting
              Evidence Within and Between Institutions that Supply Treatment in an Observational Study
              of Alternative Forms of Anesthesia,” Journal of the American Statistical Association,
              107, 901-915.
                *Tom R. Ten Have Memorial Award, 2011.
                *American Statistical Association Health Policy Statistics Student Paper Award, 2011.
            [30] Zubizarreta, J. R., Reinke, C. E., Kelz, R. R., Silber, J. H., and Rosenbaum, P. R. (2011),
              “Matching for Several Sparse Nominal Variables in a Case-Control Study of Readmission Fol-
              lowing Surgery,”The American Statistician, 65, 229-238.
          Health policy and medical science
            [31] Li, Y., Undurraga, E. A., and Zubizarreta, J. R. (2022),“Effectiveness of Localized Lockdowns
              in the COVID-19 Pandemic,”American Journal of Epidemiology, in press.
                *American Statistical Association Health Policy Statistics Student Paper Award, 2021.
                *International Biometric Society WNAR Student Paper Award, 2021.
            [32] Niknam, B., and Zubizarreta, J. R., “Examining Sources of Post-Acute Care Inequities with
              Layered Target Matching,”Health Services Research, in press.
            [33] Song, Z., Zubizarreta, J. R., Giurato, M., Paulos, E., and Koh, K. A. (2022), “Health Care
              Spending, Utilization, and Morbidity After Nonfatal Firearm Injuries,” Annals of Internal
              Medicine, in press.
            [34] Jara, A., Undurraga, E. A., Zubizarreta, J. R., Gonzalez, C., Acevedo, J., Pizarro, A., Vergara,
              V., Flores, J. C., Suarez, P., Leighton, P., Eguiguren, P., R´ıos, J. C., Garcia-Escorza, H., and
              Araos, R. (2022),“Effectiveness of CoronaVac in Children 3 to 5 Years During the SARS-CoV-2
              Omicron Outbreak in Chile,”Nature Medicine, in press.
            [35] Wilcock, A. D., Schwamm, L. H., Zubizarreta, J. R., Zachrison, K. S., Uscher-Pines, L.,
              Majersik, J. J., Richard, J. V., and Mehrotra, A. (2022),“Impact of the FAST Act on Billing
              for Telemedicine,”Health Affairs, 41, 350-359.
            [36] Wilcock, A. D., Schwamm, L. H., Zubizarreta, J. R., Zachrison, K. S., Uscher-Pines, L.,
              Richard, J. V., and Mehrotra, A. (2022), “Reperfusion Treatment and Stroke Outcomes in
              Hospitals with Telestroke Capacity,” Journal of the American Medical Association,
              Neurology, 78, 527-535.
            [37] Jara, A., Undurraga, E. A., Zubizarreta, J. R., Gonzalez, C., Pizarro, A., Acevedo, J., Leo, K.,
              Paredes, F., Bralic, T., Vergara, V., Mosso, M., Leon, F., Parot, I., Leighton, P., Suarez, P.,
              Rios, J. C., Garcia-Escorza, H., and Araos, R. (2022),“Effectiveness of Homologous and Het-
              erologous Booster Shots for an Inactivated SARS-CoV-2 Vaccine: A Large-Scale Observational
              Study,”Lancet Global Health, in press.
            [38] Kessler, R. C., Ruhm, C., Puac-Polanco, V., Hwang, I., Lee, S., Petukhova, M., Sampson, N.,
              Ziobrowski, H. N., Zaslavsky, A. M., and Zubizarreta, J. R. (2022),“Estimated Prevalence and
              Correlates of Clinically Significant Anxiety-Depression among US Adults During the First Year
              of the COVID-19 Pandemic,”Journal of the American Medical Association, Network
              Open, 5, e2217223.
            [39] Bossarte, R. M, Kessler, R. C., Nierenberg, A. A., Chattopadhyay, A., Cuijpers, P., Enrique,
              A., Foxworth, P. M., Gildea, S. M., Belnap, B. H., Haut, M. W., Law, K. B., Lewis, W.
              D., Liu, H., Luedtke, A. R., Pigeon, W. R., Rhodes, L. A., Richards, D., Rollman, B. L.,
              Sampson, N. A., Stokes, C. M., Torous, J., Webb, T. D., and Zubizarreta, J. R., (2022),“The
              Appalachia Mind Health Initiative (AMHI): A Pragmatic Clinical Trial of Adjunctive Internet-
              Based Cognitive Behavior Therapy for Treating Major Depressive Disorder Among Primary
              Care Patients,”Trials, 23, 520.
            [40] Rauh-Hain, J. A., Zubizarreta, J. R., Nitecki, R., Melamed, A., Fu, S., Jorgensen, K., Brady,
              P. C., Baker, V. L., Chavez Mac Gregor, M., Keating, N. L., and Giordano, S. H, “Survival
              Outcomes Following Pregnancy or Assisted Reproductive Technologies After Breast Cancer:
              APopulation-Based Study,”Cancer, in press.
            [41] Puac-Polanco, V., Ziobrowski, H. N., Ross, E. L., Liu, H., Turner, B., Cui, R., Leung, L. B.,
              Bossarte, R. M., Bryant, C., Joormann, J., Nierenberg, A. A., Oslin, D. W., Pigeon, W. R.,
              Post, E. P., Zainal, N. H., Zaslavsky, A. M., Zubizarreta, J. R., Luedtke, A., Kennedy, C. J.,
              Cipriani, A., Furukawa, T. A., Kessler, R. C., “Development of a Model to Predict Antide-
              pressant Treatment Response for Depression Among Veterans,”Psychological Medicine, in
              press.
            [42] Ziobrowski, H. N., Cui, R., Ross, E. L., Liu, H., Puac-Polanco, V., Turner, B., Leung, L.
              B., Bossarte, R. M., Bryant, C., Pigeon, W. R., Oslin, D. W., Post, E. P., Zaslavsky, A. M.,
              Zubizarreta, J. R., Nierenberg, A. A., Luedtke, A., Kennedy, C. J., and Kessler, R. C. (2022),
              “Development of a Model to Predict Psychotherapy Response for Depression among Veterans,”
              Psychological Medicine, 1-10.
            [43] Leung, L. B., Ziobrowski, H. N., Puac-Polanco, V., Bossarte, R. M., Bryant, C., Keusch,
              J., Liu, H., Pigeon, W. R., Oslin, D. W., Post, E. P., Zaslavsky, A. M., Zubizarreta, J. R.,
              and Kessler, R. C. (2022), “Are Veterans Getting their Preferred Depression Treatment? A
              National Observational Study in the Veterans Health Administration,”Journal of General
              Internal Medicine, 37, 3235-3241
            [44] Zubizarreta, J. R., Umhau, J. C., Deuster, P., Brenner, L. A., King, A. Petukhova, M., Tizen-
              berg, B., Upadhyaya, S. K., RachBeisel, J. A., Streeten, E., Kessler, R. C., and Postolache,
              T. T. (2021), “Evaluating the Heterogeneous Effect of a Modifiable Risk Factor on Suicide: