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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14815

Title: Advantages of the closed testing method in multiple comparison procedures
Authors: Arboretti Giancristofaro, Rosa
Bolzan, Mario
Bonnini, Stefano
Corain, Livio
Solmi, Francesca
Issue Date: 2012
Citation: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 41 (6), p. 746-763
Abstract: This article deals with the use of the Closed Testing Approach (MCPs). MCPs occur when after rejection of a global hypothesis of no effect of a given treatment, a set of pairwise comparisons between levels of that treatment are performed in order to find out significant differences between levels. Given a set of partial hypotheses, such as the pairwise comparisons of an MCP, the Closed Testing approach concentrates on testing the family of all the non empty intersections of these partial hypotheses. The results of our simulation study highlight the advantages of closed testing methods and prove that they are more powerful than other classic MCPs controlling the FWER.
URI: http://hdl.handle.net/1942/14815
DOI: 10.1080/03610918.2012.625279
ISI #: 000301383800006
ISSN: 0361-0918
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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