# Randomization-only Inference in Experiments with Interference

@inproceedings{Choi2021RandomizationonlyII, title={Randomization-only Inference in Experiments with Interference}, author={David S. Choi}, year={2021} }

In experiments that study social phenomena, such as peer influence or herd immunity, the treatment of one unit may influence the outcomes of others. Such “interference between units” violates traditional approaches for causal inference, so that additional assumptions are required to model the underlying social mechanism. We propose an approach that requires no such assumptions, allowing for interference that is both unmodeled and strong, with confidence intervals found using only the… Expand

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