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stat.ME2026
Inference for Group Interaction Experiments
Jiawei Fu, Cyrus Samii, Ye Wang
A common experimental research design is one in which individuals are randomly allocated into groups that then interact under different group-level treatment conditions. We develop…
stat.ME2025
On the Foundations of the Design-Based Approach
P. M. Aronow, Austin Jang, Molly Offer-Westort
The design-based paradigm may be adopted in causal inference and survey sampling when we assume Rubin's stable unit treatment value assumption (SUTVA) or impose similar frameworks.…
stat.ME2024
Design-Based Inference for Spatial Experiments under Unknown Interference
Ye Wang, Cyrus Samii, Haoge Chang +1
We consider design-based causal inference for spatial experiments in which treatments may have effects that bleed out and feed back in complex ways. Such spatial spillover effects…