CMStatistics 2022: Start Registration
View Submission - CMStatistics
B1092
Title: Design of experiments for networks Authors:  Vasiliki Koutra - King's College London (United Kingdom) [presenting]
Abstract: A methodology is proposed for constructing efficient designs which control for variation among the experimental units arising from network interference, so that the direct treatment effects can be precisely estimated. We provide evidence that our approach can lead to efficiency gains over conventional designs, such as randomised designs that ignore the network structure. We illustrate its usefulness for a variety of example experiments.