A class of improved hybrid Hochberg-Hommel type step-up multiple test procedures
成果类型:
Article
署名作者:
Gou, Jiangtao; Tamhane, Ajit C.; Xi, Dong; Rom, Dror
署名单位:
Northwestern University; Northwestern University; Novartis; Novartis USA
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/asu032
发表日期:
2014
页码:
899911
关键词:
bonferroni procedure
摘要:
In this paper we derive a new p-value based multiple testing procedure that improves upon the Hommel procedure by gaining power as well as having a simpler step-up structure similar to the Hochberg procedure. The key to this improvement is that the Hommel procedure can be improved by a consonant procedure. Exact critical constants of this new procedure can be numerically determined. The zeroth-order approximations to the exact critical constants, albeit slightly conservative, are simple to use and need no tabling, and hence are recommended in practice. The proposed procedure is shown to control the familywise error rate under independence among the p-values. Simulations empirically demonstrate familywise error rate control under positive and negative dependence. Power superiority of the proposed procedure over competing ones is also empirically demonstrated. Illustrative examples are given.