42 citations · 67 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Exploiting Neighborhood Interference with Low Order Interactions under Unit Randomized Design
Mayleen Cortez-Rodriguez, Matthew Eichhorn, Christina Lee Yu
Network interference, where the outcome of an individual is affected by the treatment assignment of those in their social network, is pervasive in real-world settings. However, it…
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu
Randomized experiments are widely used to estimate causal effects across a variety of domains. However, classical causal inference approaches rely on critical independence assumpti…