A two-step rejection procedure for testing multiple hypotheses

被引:75
|
作者
Li, Jianjun [1 ]
机构
[1] Merck Res Labs, N Wales, PA 19454 USA
关键词
Bonferroni inequality; multiple tests; strong control of family-wise error rate;
D O I
10.1016/j.jspi.2007.04.032
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper considers p-value based step-wise rejection procedures for testing multiple hypotheses. The existing procedures have used constants as critical values at all steps. With the intention of incorporating the exact magnitude of the p-values at the earlier steps into the decisions at the later steps, this paper applies a different strategy that the critical values at the later steps are determined as functions of the p-values from the earlier steps. As a result, we have derived a new equality and developed a two-step rejection procedure following that. The new procedure is a short-cut of a step-up procedure, and it possesses great simplicity. In terms of power, the proposed procedure is generally comparable to the existing ones and exceptionally superior when the largest p-value is anticipated to be less than 0.5. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:1521 / 1527
页数:7
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