Assignment-Control Plots: A Visual Companion for Causal Inference Study Design
分配—控制图：因果推断研究设计的可视化辅助工具
An important step for any causal inference study design is understanding the distribution of the treated and control subjects in terms of measured baseline covariates. However, not all baseline variation is equally important. In the observational context, balancing on baseline variation summarized in a propensity score can help reduce bias due to self-selection. In both observational and experimental studies, controlling baseline variation associated with the expected…