| Stable weights that balance covariates for estimation with incomplete outcome data JR Zubizarreta Journal of the American Statistical Association 110 (511), 910-922, 2015 | 567 | 2015 |
| Anesthesia technique, mortality, and length of stay after hip fracture surgery MD Neuman, PR Rosenbaum, JM Ludwig, JR Zubizarreta, JH Silber JAMA 311 (24), 2508-2517, 2014 | 337 | 2014 |
| Using mixed integer programming for matching in an observational study of kidney failure after surgery JR Zubizarreta Journal of the American Statistical Association 107 (500), 1360-1371, 2012 | 253 | 2012 |
| Matching for balance, pairing for heterogeneity in an observational study of the effectiveness of for-profit and not-for-profit high schools in Chile JR Zubizarreta, RD Paredes, PR Rosenbaum The Annals of Applied Statistics 8 (1), 204-231, 2014 | 185 | 2014 |
| Suicide prediction models: a critical review of recent research with recommendations for the way forward RC Kessler, RM Bossarte, A Luedtke, AM Zaslavsky, JR Zubizarreta Molecular Psychiatry 25 (1), 168-179, 2020 | 166 | 2020 |
| Effectiveness of homologous and heterologous booster doses for an inactivated SARS-CoV-2 vaccine: a large-scale prospective cohort study A Jara, EA Undurraga, JR Zubizarreta, C González, A Pizarro, J Acevedo, ... The Lancet Global Health 10 (6), e798-e806, 2022 | 160 | 2022 |
| Enhancing a geographic regression discontinuity design through matching to estimate the effect of ballot initiatives on voter turnout L Keele, R Titiunik, JR Zubizarreta Journal of the Royal Statistical Society Series A: Statistics in Society 178 …, 2015 | 153 | 2015 |
| Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations Y Wang, JR Zubizarreta Biometrika 107 (1), 93-105, 2020 | 126 | 2020 |
| Designing an observational study to be less sensitive to unmeasured biases: Effect of the 2010 chilean earthquake on posttraumatic stress JR Zubizarreta, M Cerdá, PR Rosenbaum Epidemiology 24 (1), 79-87, 2013 | 107* | 2013 |
| Effectiveness of CoronaVac in children 3–5 years of age during the SARS-CoV-2 Omicron outbreak in Chile A Jara, EA Undurraga, JR Zubizarreta, C González, J Acevedo, A Pizarro, ... Nature Medicine 28 (7), 1377-1380, 2022 | 93* | 2022 |
| Predicting posttraumatic stress disorder following a natural disaster AJ Rosellini, F Dussaillant, JR Zubizarreta, RC Kessler, S Rose Journal of Psychiatric Research 96, 15-22, 2018 | 81 | 2018 |
| Optimal multilevel matching in clustered observational studies: A case study of the effectiveness of private schools under a large-scale voucher system JR Zubizarreta, L Keele Journal of the American Statistical Association 112 (518), 547-560, 2017 | 81* | 2017 |
| Balancing vs modeling approaches to weighting in practice A Chattopadhyay, CH Hase, JR Zubizarreta Statistics in Medicine 39 (24), 3227-3254, 2020 | 76 | 2020 |
| Handling limited overlap in observational studies with cardinality matching G Visconti, JR Zubizarreta Observational Studies 4 (1), 217-249, 2018 | 70 | 2018 |
| Acute kidney injury, renal function, and the elderly obese surgical patient: a matched case-control study RR Kelz, CE Reinke, JR Zubizarreta, M Wang, P Saynisch, ... Annals of Surgery 258 (2), 359, 2013 | 68 | 2013 |
| Building representative matched samples with multi-valued treatments in large observational studies M Bennett, JP Vielma, JR Zubizarreta Journal of Computational and Graphical Statistics 29 (4), 744-757, 2020 | 64* | 2020 |
| Stronger instruments via integer programming in an observational study of late preterm birth outcomes JR Zubizarreta, DS Small, NK Goyal, S Lorch, PR Rosenbaum The Annals of Applied Statistics, 25-50, 2013 | 62 | 2013 |
| Matching for several sparse nominal variables in a case-control study of readmission following surgery JR Zubizarreta, CE Reinke, RR Kelz, JH Silber, PR Rosenbaum The American Statistician 65 (4), 229-238, 2011 | 62 | 2011 |
| Evaluation of subset matching methods and forms of covariate balance M de los Angeles Resa, JR Zubizarreta Statistics in Medicine 35 (27), 4961-4979, 2016 | 59 | 2016 |
| Machine learning methods for developing precision treatment rules with observational data RC Kessler, RM Bossarte, A Luedtke, AM Zaslavsky, JR Zubizarreta Behaviour Research and Therapy 120, 103412, 2019 | 55 | 2019 |
