Mayleen Cortez

Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge

Randomized experiments are widely used to estimate causal effects across many domains. However, classical causal inference approaches rely on independence assumptions that are violated by network interference, when the treatment of one individual influences the outcomes of others. All existing appro…