Develops a locally optimal design criterion for A/B testing on undirected networks under a CAR model that accounts for treatment, covariates, and network-induced correlations, with robustness checks via examples.
(2016), Design and Analysis of Experiments in Networks: Reducing Bias from Interference, Journal of Causal Inference, 5, 20150021
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2020 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Locally Optimal Design for A/B Testing in the Presence of Covariates and Network Connection
Develops a locally optimal design criterion for A/B testing on undirected networks under a CAR model that accounts for treatment, covariates, and network-induced correlations, with robustness checks via examples.