2 citations · 3 across the 3 of their papers we have counts for
3 papers
Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
Matthew Eichhorn, Samir Khan, Johan Ugander +1
Variance reduction for causal inference in the presence of network interference is often achieved through either outcome modeling, typically analyzed under unit-randomized Bernoull…
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu
Estimating causal effects under interference is pertinent to many real-world settings. Recent work with low-order potential outcomes models uses a rollout design to obtain unbiased…
Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference
Anish Agarwal, Sarah H. Cen, Devavrat Shah +1
We propose a generalization of the synthetic controls and synthetic interventions methodology to incorporate network interference. We consider the estimation of unit-specific poten…