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New testing procedures with k-FWER control for discrete data

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  • Wang, Li

Abstract

Discrete p-values are often encountered in clinical studies and genomic studies, where Fisher’s exact test or binomial test is used. Since the distributions of the p-values for discrete data are discrete, and can be heterogeneous and stochastically larger than Uniform distribution U[0,1] under the null hypotheses, the multiple testing procedure constructed for continuous p-values will be conservative when applied to discrete data. This paper will propose new procedures with k-FWER control, the probability of making no less than k false discoveries, by using the cumulative distribution function of the p-values and improving generalized Bonferroni and generalized Holm procedure for arbitrarily dependent p-values. Extensive simulations and real data analysis will demonstrate the power improvement of the newly proposed procedures.

Suggested Citation

  • Wang, Li, 2022. "New testing procedures with k-FWER control for discrete data," Statistics & Probability Letters, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:stapro:v:180:y:2022:i:c:s016771522100198x
    DOI: 10.1016/j.spl.2021.109236
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    References listed on IDEAS

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