research
∙
11/16/2022
Selecting Subpopulations for Causal Inference in Regression Discontinuity Designs
The Brazil Bolsa Familia (BF) program is a conditional cash transfer pro...
share
research
∙
09/15/2021
Causal Effects with Hidden Treatment Diffusion on Observed or Partially Observed Networks
In randomized experiments, interactions between units might generate a t...
research
∙
12/12/2020
From controlled to undisciplined data: estimating causal effects in the era of data science using a potential outcome framework
This paper discusses the fundamental principles of causal inference - th...
research
∙
12/09/2020
Bipartite Interference and Air Pollution Transport: Estimating Health Effects of Power Plant Interventions
Evaluating air quality interventions is confronted with the challenge of...
research
∙
11/22/2020
Exploiting network information to disentangle spillover effects in a field experiment on teens' museum attendance
Nudging youths to visit historical and artistic heritage is a key goal p...
research
∙
02/27/2020
Assessing causal effects in the presence of treatment switching through principal stratification
Clinical trials focusing on survival outcomes often allow patients in th...
research
∙
09/15/2019
Causal inference and machine learning approaches for evaluation of the health impacts of large-scale air quality regulations
We develop a causal inference approach to estimate the number of adverse...
research
∙
02/15/2019
Survivor average causal effects for continuous time: a principal stratification approach to causal inference with semicompeting risks
In semicompeting risks problems, nonterminal time-to-event outcomes such...
research
∙
12/17/2018
Matching on Generalized Propensity Scores with Continuous Exposures
Generalized propensity scores (GPS) are commonly used when estimating th...
research
∙
10/05/2018
Local Randomization and Beyond for Regression Discontinuity Designs: Revisiting a Causal Analysis of the Effects of University Grants on Dropout Rates
Regression discontinuity designs (RDDs) are a common quasi-experiment in...
research
∙
10/05/2018
Local Randomization and Beyond for Regression Discontinuity Designs
Regression discontinuity designs (RDDs) are a common quasi-experiment in...
research
∙
09/13/2018
Causal Impact of the Hospital Readmissions Reduction Program on Hospital Readmissions and Mortality
Estimating causal effects of the Hospital Readmissions Reduction Program...
research
∙
07/29/2018
Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores
In most real-world systems units are interconnected and can be represent...
research
∙
05/24/2018
Estimating Population Average Causal Effects in the Presence of Non-Overlap: A Bayesian Approach
Most causal inference studies rely on the assumption of positivity, or o...
research
∙
11/03/2017
