Adaptive FWER control procedure for grouped hypotheses

Haibing Zhao

Statistics & Probability Letters, 2014, vol. 95, issue C, 63-70

Abstract: In this paper, we discuss the multiple testing problem for grouped hypotheses. We propose weighted p-value procedures, which are theoretically shown to control the family-wise error rate and be more powerful than existing methods. Simulation studies further confirm the theoretical analysis conclusions.

Keywords: Grouped data; Weighted p values; FWER; Multiple comparisons (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1016/j.spl.2014.08.011

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