• Publications
  • Influence
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 largerExpand
  • 14
  • 3
  • PDF
Randomization-based inference for Bernoulli trial experiments and implications for observational studies
TLDR
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
  • 9
  • 1
  • PDF
Is My Matched Dataset As-If Randomized, More, Or Less? Unifying the Design and Analysis of Observational Studies
TLDR
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
  • 7
  • 1
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
  • 5
  • 1
  • PDF
Electric-field alignment of aqueous multi-walled carbon nanotubes on microporous substrates
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 aExpand
  • 18
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
  • 7
  • PDF
Tuning electric field aligned CNT architectures via chemistry, morphology, and sonication from micro to macroscopic scale.
Electric-field alignment of carbon nanotubes (CNT) is widely used to produce composite materials with anisotropic mechanical, electrical, and optical properties. Nevertheless, consistent results areExpand
  • 6
Sampling-based randomized designs for causal inference under the potential outcomes framework
TLDR
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
  • 1
  • PDF
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...
...
1
2
...