Large Sample Randomization Inference of Causal Effects in the Presence of Interference
存在干扰时因果效应的大样本随机化推断
Recently, increasing attention has focused on making causal inference when interference is possible. In the presence of interference, treatment may have several types of effects. In this paper, we consider inference about such effects when the population consists of groups of individuals where interference is possible within groups but not between groups. A two stage randomization design is assumed where in the first stage groups are randomized to different treatment…