Detecting treatment interference under K-nearest-neighbors interference-Reference-Cited by-同舟云学术

Detecting treatment interference under K-nearest-neighbors interference

Published:2024-01-01 Issue:1 Volume:12 Page:
ISSN:2193-3685
Container-title:Journal of Causal Inference
language:en
Short-container-title:

Author:

Alzubaidi Samirah H.¹,Higgins Michael J.²

Affiliation:

1. Department of Mathematics, Al-Qunfudah University College, Umm Al-Qura University , Al-Qunfudah, 28821 , Saudi Arabia

2. Department of Statistics, Kansas State University , Manhattan , KS, 66506 , United States

Abstract

Abstract We propose a model of treatment interference where the response of a unit depends only on its treatment status and the statuses of units within its K-neighborhood. Current methods for detecting interference include carefully designed randomized experiments and conditional randomization tests on a set of focal units. We give guidance on how to choose focal units under this model of interference. We then conduct a simulation study to evaluate the efficacy of existing methods for detecting network interference. We show that this choice of focal units leads to powerful tests of treatment interference that outperform current experimental methods.

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/jci-2023-0029/pdf

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