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A nonparametric Bayesian methodology for regression discontinuity designs
Abstract One of the most popular methodologies for estimating the average treatment effect at the threshold in a regression discontinuity design is local linear regression (LLR), which places larger… Expand
Improving covariate balance in 2K factorial designs via rerandomization with an application to a New York City Department of Education High School Study
Randomization-based inference for Bernoulli trial experiments and implications for observational studies
- Zach Branson, Marie-Abèle C Bind
- Mathematics, Medicine
- Statistical methods in medical research
- 13 July 2017
We present a randomization-based inferential framework for experiments characterized by a strongly ignorable assignment mechanism where units have independent probabilities of receiving treatment. Expand
Is My Matched Dataset As-If Randomized, More, Or Less? Unifying the Design and Analysis of Observational Studies
- Zach Branson
- Computer Science
- 23 April 2018
We develop a causal inference framework that explicitly addresses covariate balance in both the design and analysis stages of an observational study, which opens many avenues for future research. Expand
A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?
Most research on regression discontinuity designs (RDDs) has focused on univariate cases, where only those units with a "forcing" variable on one side of a threshold value receive a treatment.… Expand
Electric-field alignment of aqueous multi-walled carbon nanotubes on microporous substrates
- E. Remillard, Q. Zhang, S. Sosina, Zach Branson, Tirthankar Dasgupta, Chad D Vecitis
- Materials Science
- 1 April 2016
Abstract Carbon nanotube membranes and polymer composites are used in a wide range of applications including flexible electronics, energy storage devices, and water treatment. Here, we present a… Expand
Randomization Tests that Condition on Non-Categorical Covariate Balance
Abstract A benefit of randomized experiments is that covariate distributions of treatment and control groups are balanced on average, resulting in simple unbiased estimators for treatment effects.… Expand
Tuning electric field aligned CNT architectures via chemistry, morphology, and sonication from micro to macroscopic scale.
- E. Remillard, Zach Branson, John Rahill, Q. Zhang, Tirthankar Dasgupta, Chad D Vecitis
- Materials Science, Medicine
- 25 May 2017
Electric-field alignment of carbon nanotubes (CNT) is widely used to produce composite materials with anisotropic mechanical, electrical, and optical properties. Nevertheless, consistent results are… Expand
Sampling-based randomized designs for causal inference under the potential outcomes framework
We establish the inferential properties of the mean-difference estimator for the average treatment effect in randomized experiments where each unit in a population is randomized to one of two treatments and then units within treatment groups are randomly sampled. Expand
Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs
What is the premium on house price for a particular school district? To estimate this in New York City we use a novel implementation of a geographic regression discontinuity design (GeoRDD) built f...