Multiple Comparisons by Rerandomization Tests
本文指出经典多重比较方法不能直接用于重随机化检验，否则会增加第一类错误，并论证了逐步程序的有效性，推荐了Begun和Gabriel（1981）的改进方法。
Classical methods of simultaneous inference cannot be used with rerandomization tests without risking excessive type I errors. This is illustrated by examples that show some published methods to be invalid for multiple comparisons. However, the use of stepwise procedures is shown to remain valid with rerandomization tests. In particular, this article advocates an adaptation of Begun and Gabriel's (1981) technique and provides the algorithm for using it.