Adaptive Weighted Random Isolation (AWRI): a simple design to estimate causal effects under network interference
自适应加权随机隔离:网络干扰下因果效应的实验设计
Recently, causal inference under interference has gained increasing attention in the literature. In this paper, we focus on randomized designs for estimating the total treatment effect (TTE), defined as the average difference in potential outcomes between fully treated and fully controlled groups. We propose a simple design called weighted random isolation (WRI) along with a restricted difference-in-means estimator (RDIM) for TTE estimation. Additionally, we derive a novel…