Causal inference in network experiments: regression-based analysis and design-based properties

M Gao, P Ding - arxiv preprint arxiv:2309.07476, 2023 - arxiv.org
Investigating interference or spillover effects among units is a central task in many social
science problems. Network experiments are powerful tools for this task, which avoids …

Estimation of causal effects under k-nearest neighbors interference

S Alzubaidi, MJ Higgins - arxiv preprint arxiv:2307.15204, 2023 - arxiv.org
Considerable recent work has focused on methods for analyzing experiments which exhibit
treatment interference--that is, when the treatment status of one unit may affect the response …

[KNIHA][B] Causal inference under the K-nearest neighbors interference model

S Alzubaidi - 2022 - search.proquest.com
In causal inference, an experiment exhibits treatment interference when the treatment status
of one unit affects the response of other units. While traditional causal inference methods …

A test for direct and indirect effect interaction under treatment interference

A Becker - 2024 - krex.k-state.edu
Abstract Treatment interference occurs when the treatment effect of one unit affects the
response of another unit. Under interference, treatment effects can be classified as direct …