108 citations · 355 across the 29 of their papers we have counts for
5 papers · 1 filter
Counterfactual Mean-variance Optimization
Kwangho Kim, Alan Mishler, José R. Zubizarreta
We study a counterfactual mean-variance optimization, where the mean and variance are defined as functionals of counterfactual distributions. The optimization problem defines the o…
Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond
Ambarish Chattopadhyay, Carl N. Morris, Jose R. Zubizarreta
The Finite Selection Model (FSM) was developed by Carl Morris in the 1970s for the design of the RAND Health Insurance Experiment (HIE) (Morris 1979, Newhouse et al. 1993), one of…
One-Step weighting to generalize and transport treatment effect estimates to a target population
Ambarish Chattopadhyay, Eric R. Cohn, Jose R. Zubizarreta
The problem of generalization and transportation of treatment effect estimates from a study sample to a target population is central to empirical research and statistical methodolo…
Privacy-Preserving, Communication-Efficient, and Target-Flexible Hospital Quality Measurement
Larry Han, Yige Li, Bijan A. Niknam +1
Integrating information from multiple data sources can enable more precise, timely, and generalizable decisions. However, it is challenging to make valid causal inferences using ob…
Using Cardinality Matching to Design Balanced and Representative Samples for Observational Studies
Bijan A. Niknam, Jose R. Zubizarreta
Cardinality matching is a computational method for finding the largest possible number of matched pairs of exposed and unexposed individuals from an observational dataset, with spe…