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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:
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