A simple, graphical approach to comparing multiple treatments
提出一种图形化方法，通过重抽样控制族系错误率，帮助用户直观推断各处理效应是否为零及处理间差异，并用三个实例展示其有效性。
Summary We consider a graphical approach to comparing multiple treatments that allows users to easily infer differences between any treatment effect and zero, and between any pair of treatment effects. This approach makes use of a flexible, resampling-based procedure that asymptotically controls the familywise error rate (the probability of making one or more spurious inferences). We demonstrate the usefulness of this approach with three empirical examples.