Follow
Zach Branson
Zach Branson
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
412019
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
412016
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
342016
Randomization Tests to Assess Covariate Balance When Designing and Analyzing Matched Datasets
Z Branson
Observational Studies 7, 1-36, 2021
28*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
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
172020
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
172019
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
172017
Randomization tests that condition on non-categorical covariate balance
Z Branson, LW Miratrix
Journal of Causal Inference 7 (1), 20180004, 2019
162019
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
Sampling‐based Randomised Designs for Causal Inference under the Potential Outcomes Framework
Z Branson, T Dasgupta
International Statistical Review 88 (1), 101-121, 2020
62020
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
52023
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
52022
Power and sample size calculations for rerandomization
Z Branson, X Li, P Ding
Biometrika 111 (1), 355-363, 2024
4*2024
Nonparametric estimation of conditional incremental effects
A McClean, Z Branson, EH Kennedy
arXiv preprint arXiv:2212.03578, 2022
32022
Causal effect estimation after propensity score trimming with continuous treatments
Z Branson, EH Kennedy, S Balakrishnan, L Wasserman
arXiv preprint arXiv:2309.00706, 2023
12023
Heterogeneous interventional effects with multiple mediators: Semiparametric and nonparametric approaches
M Rubinstein, Z Branson, EH Kennedy
Journal of Causal Inference 11 (1), 20220070, 2023
12023
A Unified Framework for Rerandomization using Quadratic Forms
K Schindl, Z Branson
arXiv preprint arXiv:2403.12815, 2024
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
2024
The system can't perform the operation now. Try again later.
Articles 1–20