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A Flexible Choice of Critical Constants for the Improved Hybrid Hochberg-Hommel Procedure

Author

Listed:
  • Jiangtao Gou

    (Hunter College)

  • Ajit C. Tamhane

    (Northwestern University)

Abstract

In Gou et al. (Biometrika 101(4), 899–911 2014), we proposed an improved hybrid Hochberg-Hommel (HH0) step-up multiple test procedure. The procedure used a fixed, specified set of critical constants. In this follow-up note, we show that an entire class of critical constants can be derived by relaxing one of the assumptions in that paper. This allows a choice of more powerful critical constants. These critical constants do not control the type I error under positive dependence among the test statistics as shown by simulations. Therefore, they should be used only under independence and negative dependence when not only they control the type I error but also yield higher power. If positive dependence is expected, as is common in practice, then the HH0 procedure should be used since it is robust with respect to type I error control under dependence.

Suggested Citation

  • Jiangtao Gou & Ajit C. Tamhane, 2018. "A Flexible Choice of Critical Constants for the Improved Hybrid Hochberg-Hommel Procedure," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(1), pages 85-97, May.
  • Handle: RePEc:spr:sankhb:v:80:y:2018:i:1:d:10.1007_s13571-017-0135-0
    DOI: 10.1007/s13571-017-0135-0
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    References listed on IDEAS

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    1. Cai, Gengqian & Sarkar, Sanat K., 2008. "Modified Simes' critical values under independence," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1362-1368, September.
    2. Jiangtao Gou & Ajit C. Tamhane & Dong Xi & Dror Rom, 2014. "A class of improved hybrid Hochberg–Hommel type step-up multiple test procedures," Biometrika, Biometrika Trust, vol. 101(4), pages 899-911.
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