| Improving covariate balance in 2K factorial designs via rerandomization with an application to a New York City Department of Education High School Study Z Branson, T Dasgupta, DB Rubin | 47 | 2016 |
| A nonparametric Bayesian methodology for regression discontinuity designs Z Branson, M Rischard, L Bornn, LW Miratrix Journal of Statistical Planning and Inference 202, 14-30, 2019 | 42 | 2019 |
| Electric-field alignment of aqueous multi-walled carbon nanotubes on microporous substrates EM Remillard, Q Zhang, S Sosina, Z Branson, T Dasgupta, CD Vecitis Carbon 100, 578-589, 2016 | 36 | 2016 |
| Randomization Tests to Assess Covariate Balance When Designing and Analyzing Matched Datasets Z Branson Observational Studies 7, 1-36, 2021 | 31* | 2021 |
| Ridge rerandomization: An experimental design strategy in the presence of covariate collinearity Z Branson, S Shao Journal of Statistical Planning and Inference 211, 287-314, 2021 | 19* | 2021 |
| Randomization-based inference for Bernoulli trial experiments and implications for observational studies Z Branson, MA Bind Statistical methods in medical research 28 (5), 1378-1398, 2019 | 19 | 2019 |
| Do school districts affect NYC house prices? Identifying border differences using a Bayesian nonparametric approach to geographic regression discontinuity designs M Rischard, Z Branson, L Miratrix, L Bornn Journal of the American Statistical Association 116 (534), 619-631, 2021 | 17* | 2021 |
| Evaluating a key instrumental variable assumption using randomization tests Z Branson, L Keele American Journal of Epidemiology 189 (11), 1412-1420, 2020 | 17 | 2020 |
| Tuning electric field aligned CNT architectures via chemistry, morphology, and sonication from micro to macroscopic scale EM Remillard, Z Branson, J Rahill, Q Zhang, T Dasgupta, CD Vecitis Nanoscale 9 (20), 6854-6865, 2017 | 17 | 2017 |
| Randomization tests that condition on non-categorical covariate balance Z Branson, LW Miratrix Journal of Causal Inference 7 (1), 20180004, 2019 | 15 | 2019 |
| The local randomization framework for regression discontinuity designs: A review and some extensions Z Branson, F Mealli arXiv preprint arXiv:1810.02761, 2018 | 15* | 2018 |
| Incremental causal effects: an introduction and review M Bonvini, A McClean, Z Branson, EH Kennedy Handbook of matching and weighting adjustments for causal inference, 349-372, 2023 | 10 | 2023 |
| Sampling‐based Randomised Designs for Causal Inference under the Potential Outcomes Framework Z Branson, T Dasgupta International Statistical Review 88 (1), 101-121, 2020 | 8 | 2020 |
| Community behavioral health service use and criminal recidivism of people with mental, substance use, and co-occurring disorders LA Jacobs, Z Branson, CG Greeno, JL Skeem, T Labrum Psychiatric services 73 (12), 1397-1400, 2022 | 7 | 2022 |
| Nonparametric estimation of conditional incremental effects A McClean, Z Branson, EH Kennedy Journal of Causal Inference 12 (1), 20230024, 2024 | 6 | 2024 |
| Power and sample size calculations for rerandomization Z Branson, X Li, P Ding Biometrika 111 (1), 355-363, 2024 | 6* | 2024 |
| Heterogeneous interventional effects with multiple mediators: Semiparametric and nonparametric approaches M Rubinstein, Z Branson, EH Kennedy Journal of Causal Inference 11 (1), 20220070, 2023 | 3* | 2023 |
| Defining, identifying, and estimating causal effects with the potential outcomes framework: a review for education research B Keller, Z Branson Asia Pacific Education Review, 1-20, 2024 | 2* | 2024 |
| Incremental Propensity Score Effects for Criminology: An Application Assessing the Relationship Between Homelessness, Behavioral Health Problems, and Recidivism LA Jacobs, A McClean, Z Branson, E Kennedy, A Fixler Journal of Quantitative Criminology, 1-20, 2024 | 1 | 2024 |
| Causal effect estimation after propensity score trimming with continuous treatments Z Branson, EH Kennedy, S Balakrishnan, L Wasserman arXiv preprint arXiv:2309.00706, 2023 | 1 | 2023 |
Tirthankar DasguptaRutgers University在 rutgers.edu 的电子邮件经过验证
