21 citations · 119 across the 23 of their papers we have counts for
3 papers · 1 filter
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…
Estimating Total Treatment Effect in Randomized Experiments with Unknown Network Structure
Christina Lee Yu, Edoardo M Airoldi, Christian Borgs +1
Randomized experiments are widely used to estimate the causal effects of a proposed treatment in many areas of science, from medicine and healthcare to the physical and biological…