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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 | Source: | 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. | Keywords: | closed testing; familywise error rate; multiple comparisons | Document URI: | http://hdl.handle.net/1942/14815 | ISSN: | 0361-0918 | e-ISSN: | 1532-4141 | DOI: | 10.1080/03610918.2012.625279 | ISI #: | 000301383800006 | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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ArborettiBolzanBonniniCorainSolmi_CIS_2012.pdf Restricted Access | 198.43 kB | Adobe PDF | View/Open Request a copy |
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