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PUBLICATIONS:

Edited volume:

Zubizarreta, J. R., Stuart, E. A., Small, D. S. and Rosenbaum, P. R., Editors (2023). Handbook of Matching and Weighting Adjustments for Causal Inference. Chapman & Hall/CRC Press

Articles, statistics:

Chattopadhyay, A., and Zubizarreta, J. R. (2024), "Causation, Comparison, and Regression," Harvard Data Science Review, accepted.

Han, L., Li, Y., Niknam, B., and Zubizarreta, J. R. (2024), "Privacy-Preserving, Communication-Efficient, and Target-Flexible Hospital Quality Measurement," Annals of Applied Statistics, accepted.
      *Larry Han, winner of the American Statistical Association Health Policy Statistics Student Paper Award, 2023.
      *Larry Han, winner of the Best Oral Student Paper Presentation, WNAR 2022.

Chattopadhyay, A., Cohn, E. R., and Zubizarreta, J. R. (2024), "One-Step Weighting to Generalize and Transport Treatment Effect Estimates to a Target Population," The American Statistician, accepted.

Kim, K., Niknam, B., and Zubizarreta, J. R. (2024), "Scalable Kernel Balancing Weights in a Nationwide Observational Study of Hospital Profit Status and Heart Attack Outcomes," Biostatistics, accepted.

Han, L., Shen, Z., and Zubizarreta, J. R. (2023), "Multiply Robust Federated Estimation of Targeted Average Treatment Effects," Advances in Neural Information Processing Systems (NeurIPS), accepted.

Chattopadhyay, A., and Zubizarreta, J. R. (2023), "On the Implied Weights of Linear Regression for Causal Inference," Biometrika, 110, 615–629.
      *Ambarish Chattopadhyay, Dempster Prize, 2021 (awarded by the Department of Statistics at Harvard University)

Kim, K., and Zubizarreta, J. R. (2023), "Toward Fair and Robust Estimation of Conditional Average Treatment Effects for Optimal Treatment Regimes," International Conference in Machine Learning (ICML).

Díaz, J. D., and Zubizarreta, J. R. (2023), "Complex Discontinuity Designs Using Covariates: Impact of School Grade Retention on Later Life Outcomes in Chile," Annals of Applied Statistics, 17, 67-88.

Wang, Y., and Zubizarreta, J. R. (2023), "Large Sample Properties of Matching for Balance," Statistica Sinica, 33, 1-20.

Rosenbaum, P. R., and Zubizarreta, J. R. (2023), "Optimization Techniques in Multivariate Matching," in Handbook of Matching and Weighting Adjustments for Causal Inference, II, 63-86.

Cohn, E. R., Ben-Michael, E., Feller, A., and Zubizarreta, J. R. (2023), "Balancing Weights for Causal Inference," in Handbook of Matching and Weighting Adjustments for Causal Inference, III, 293-312.

Kim, K., Kennedy, E. H., and Zubizarreta, J. R. (2022), "Doubly Robust Counterfactual Classification," Advances in Neural Information Processing Systems (NeurIPS), 35, 34831-34845.

Cohn, E. R., and Zubizarreta, J. R. (2022), "Profile Matching for the Generalization and Personalization of Causal Inferences," Epidemiology, 33, 678-688.
      *Eric Cohn, Young Investigator Award, 2021 (awarded by the American Statistical Association section on Statistics in Epidemiology)

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.

Bennett, M., Vielma, J. P., and Zubizarreta, J. R. (2020), "Building Representative Matched Samples with Multi-valued Treatments in Large Observational Studies," Journal of Computational and Graphical Statistics, 29, 744–757.
      *Magdalena Bennett, winner of the International Biometric Society ENAR Student Paper Award, 2019 (awarded by ENAR)

Chattopadhyay, A., Hase, C., and Zubizarreta, J. R. (2020),"Balancing Versus Modeling Approaches to Weighting in Practice," Statistics in Medicine, 39, 3227-3254.
     -Download code

Resa. M. A., and Zubizarreta, J. R. (2020), "Direct and Stable Weight Adjustment in Non-Experimental Studies with Multi-valued Treatments: Analysis of the Impact of an Earthquake on Posttraumatic Stress," Journal of the Royal Statistical Society: Series A, 183, 1387-1410.

Wang, Y., and Zubizarreta, J. R. (2020), "Minimal Dispersion Approximately Balancing Weights: Asymptotic Properties and Practical Considerations," Biometrika, 107, 93-105.
      *Yixin Wang, winner of the Biometrics Student Paper Award, 2018 (awarded by the Biometrics Section of the American Statistical Association)

Miratrix, L. W., Wager, S., and Zubizarreta, J. R. (2018),"Shape-Constrained Partial Identification of a Population Mean Under Unknown Probabilities of Sample Selection," Biometrika, 107, 103-114.

Visconti, G., and Zubizarreta, J. R. (2018), "Handling Limited Overlap in Observational Studies with Cardinality Matching," Observational Studies, 4, 217-249.
      *Winner of the William Cochran prize for the best paper published in Observational Studies in 2015-2019

Aronow, P. M., Crawford, F. W., and Zubizarreta, J. R. (2018),"Confidence Intervals for Linear Unbiased Estimators Under Constrained Dependence," Electronic Journal of Statistics, 12, 2238-2252.

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.

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, Biometrics, 74, 1395-1397.

Zubizarreta, J. R., and Keele. L. (2017), "Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System," Journal of the American Statistical Association, 112, 547-560.

Hirshberg, D. A., and Zubizarreta, J. R. (2017), "On Two Approaches to Weighting in Causal Inference," invited commentary, Epidemiology, 28, 812-816.

Kilcioglu. C., and Zubizarreta, J. R. (2016), "Maximizing the Information Content of a Balanced Matched Sample in a Study of the Economic Performance of Green Buildings," Annals of Applied Statistics, 10, 1997–2020.

Resa. M. A., and Zubizarreta, J. R. (2016), "Evaluation of Subset Matching Methods and Forms of Covariate Balance," Statistics in Medicine, 35, 4961–4979.

Zubizarreta, J. R. (2015), "Stable Weights that Balance Covariates for Estimation with Incomplete Outcome Data," Journal of the American Statistical Association, 110, 910–922.
      *Winner of the Biometrics Student Paper Award, 2014 (awarded by the Biometrics Section of the American Statistical Association)
      *Winner of the International Biometric Society ENAR Student Paper Award, 2014 (awarded by ENAR)

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.

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.

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.

Yang. F., Zubizarreta, J. R., Small, D. S., Lorch, S. A., and Rosenbaum, P. R. (2014), "Dissonant Conclusions When Testing the Validity of an Instrumental Variable," The American Statistician, 68, 253-263.

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.
      *Winner of the Social Statistics, Government Statistics, and Survey Research Methods Sections Student Paper Award, 2013 (awarded by these three Sections of the American Statistical Association)

Zubizarreta, J. R., Cerdá, M., and Rosenbaum, P. R. (2013), "Designing an Observational Study to be Less Sensitive to Unmeasured Biases: Effect of the 2010 Chilean Earthquake on Posttraumatic Stress," Epidemiology, 24, 79-87 (with discussion).
      *Winner of the Kenneth Rothman Prize, 2014 (awarded for the best paper published in Epidemiology in 2013)
      *Young Investigator Award, 2012 (awarded by the American Statistical Association section on Statistics in Epidemiology)

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 Outcomes," Annals of Applied Statistics, 7, 25-50.

Zubizarreta, J. R. (2012), "Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure after Surgery," Journal of the American Statistical Association, 107, 1360-1371.
      *Winner of the Deming Scholar Award, 2012 (awarded by the American Statistical Society and the American Society for Quality)

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.
      *Winner of the Tom R. Ten Have Memorial Award, 2011 (awarded at the Atlantic Causal Inference Conference for "exceptionally creative or skillful research on causal inference")
      *Winner of the HPSS Student Paper Award, 2011 (awarded by the Health Policy and Statistics Section of the American Statistical Association)

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 Following Surgery," The American Statistician, 65, 229-238.