Publications
* denotes that lead author was student or advisee
Published/Accepted
L. Jacobs, Z. Branson, C. Greeno, J. L. Skeem, T. Labrum (2022). "Community behavioral health service use and criminal recidivism among people with mental and/or substance use disorders." Psychiatric Services
M. Rischard, Z. Branson, L. Bornn, and L. Miratrix (2021), "Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs" Journal of the American Statistical Association.
Z. Branson (2021), "Randomization Tests to Assess Covariate Balance When Designing and Analyzing Matched Datasets." Observational Studies.
Z. Branson and S. Shao (2021), "Ridge Rerandomization: An Experimental Design Strategy in the Presence of Covariate Collinearity." Journal of Statistical Planning and Inference.
Z. Branson and L. Keele (2020). "Evaluating A Key Instrumental Variable Assumption Using Randomization Tests." American Journal of Epidemiology.
Z. Branson and T. Dasgupta (2020). "Sampling-based randomized designs for causal inference under the potential outcomes framework." International Statistical Review.
Z. Branson, M. Rischard, L. Bornn, and L. Miratrix (2019). "A Nonparametric Bayesian Methodology for Regression Discontinuity Designs.'' Journal of Statistical Planning and Inference.
Z. Branson and L. Miratrix (2019). "Randomization Tests That Condition on Non-Categorical Covariate Balance." Journal of Causal Inference.
Z. Branson and M-A. Bind (2019). "Randomization-based Inference for Bernoulli Trial Experiments and Implications for Observational Studies." Statistical Methods in Medical Research.
M. Remillard, Z. Branson, J. Rahill, Q. Zhang, T. Dasgupta, and C. Vecitis (2017). "Tuning Electric Field Aligned CNT Architectures via Chemistry, Morphology, and Sonication from Micro to Macroscopic Scale.'' Nanoscale.
Z. Branson, T. Dasgupta, D. B. Rubin (2016). "Improving covariate balance in 2K factorial designs via rerandomization with an application to a New York City Department of Education High School Study." Annals of Applied Statistics.
M. Remillard, Q. Zhang, S. Sosina, Z. Branson, T. Dasgupta, and C. Vecitis (2016). "Electric-field alignment of aqueous multi-walled carbon nanotubes on microporous substrates." Carbon.
Preprints
A. McClean*, Z. Branson, E. Kennedy. "Nonparametric Estimation of Conditional Incremental Effects."
M. Rubinstein*, Z. Branson, E. Kennedy. "Heterogeneous interventional indirect effects with multiple mediators: non-parametric and semi-parametric approaches."
Zach Branson, Xinran Li, and Peng Ding. "Power and Sample Size Calculations for Rerandomized Experiments."
Matteo Bonvini*, Alec McClean*, Zach Branson, and Edward Kennedy. "Incremental Causal Effects: An Introduction and Review."
Zach Branson and Fabrizia Mealli, "The Local Randomization Framework for Regression Discontinuity Designs: A Review and Some Extensions."
Miscellaneous
Zach Branson, Luis Campos, Luke Miratrix (2015). "Book Review of Hierarchical Modeling and Analysis for Spatial Data (2nd Edition).'' Journal of the American Statistical Association.
Undergraduate Research
"Comparing Propensity Score Methodologies for Analyzing High School Class Assignment." Senior Honors Thesis. Advised by Professor Howard Seltman.
"Modeling Absence and Academic Achievement in Pittsburgh High Schools." Undergraduate Research Project written with Shaina Alexandria (now at UNC) and Sarah Peko-Spicer (now at Northwestern) and presented to school board of Pittsburgh Public Schools. Advised by Professor William Eddy.