Zach Branson
Cited by
Cited by
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
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
The Annals of Applied Statistics 10 (4), 1958-1976, 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
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
Randomization tests that condition on non-categorical covariate balance
Z Branson, LW Miratrix
Journal of Causal Inference 7 (1), 2019
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
Randomization Tests to Assess Covariate Balance When Designing and Analyzing Matched Datasets
Z Branson
Observational Studies 7, 1-36, 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
The Local Randomization Framework for Regression Discontinuity Designs: A Review and Some Extensions
Z Branson, F Mealli
arXiv preprint arXiv:1810.02761, 2018
Evaluating a key instrumental variable assumption using randomization tests
Z Branson, L Keele
American Journal of Epidemiology 189 (11), 1412-1420, 2020
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, 1-13, 2020
Sampling‐based Randomised Designs for Causal Inference under the Potential Outcomes Framework
Z Branson, T Dasgupta
International Statistical Review 88 (1), 101-121, 2020
Innovations in Randomization Inference for the Design and Analysis of Experiments and Observational Studies
Z Branson
Hierarchical Modeling and Analysis for Spatial Data
ZJ Branson, LF Campos, LW Miratrix
Journal of the American Statistical Association 110 (512), 1820-1821, 2015
Comparing Propensity Score Methodologies for Analyzing High School Class Assignment
Z Branson
Carnegie Mellon University, 2014
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