108 citations · 355 across the 29 of their papers we have counts for
29 papers
Adaptive Orthogonalization for Stable Estimation of the Effects of Time-Varying Treatments
Yige Li, María de los Angeles Resa, José R. Zubizarreta
Inferring the causal effects of time-varying treatments is often hindered by highly variable inverse propensity weights, particularly in settings with limited covariate overlap. Bu…
Design-based inference for generalized network experiments with stochastic interventions
Ambarish Chattopadhyay, Kosuke Imai, Jose R. Zubizarreta
A growing number of researchers are conducting randomized experiments to analyze causal relationships in network settings where units influence one another. A dominant methodology…
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes
Kwangho Kim, Bijan A. Niknam, José R. Zubizarreta
Weighting is a general and often-used method for statistical adjustment. Weighting has two objectives: first, to balance covariate distributions, and second, to ensure that the wei…
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
Kwangho Kim, José R. Zubizarreta
We propose a simple and general framework for nonparametric estimation of heterogeneous treatment effects under fairness constraints. Under standard regularity conditions, we show…
Notes on Causation, Comparison, and Regression
Ambarish Chattopadhyay, Jose R. Zubizarreta
Comparison and contrast are the basic means to unveil causation and learn which treatments work. To build good comparison groups, randomized experimentation is key, yet often infea…
Risk Set Matched Difference-in-Differences for the Analysis of Effect Modification in an Observational Study on the Impact of Gun Violence on Health Outcomes
Eric R. Cohn, Zirui Song, Jose R. Zubizarreta
Gun violence is a major source of injury and death in the United States. However, relatively little is known about the effects of firearm injuries on survivors and their family mem…