Adaptive FWER control procedure for grouped hypotheses

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.

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Year of publication:	2014
Authors:	Zhao, Haibing
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 95.2014, C, p. 63-70
Publisher:	Elsevier
Subject:	Grouped data \| Weighted p values \| FWER \| Multiple comparisons

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010939477