Search for relevant sets of variables in a high‐dimensional setup keeping the familywise error rate

Jürgen Läuter, Ekkehard Glimm and Markus Eszlinger

Statistica Neerlandica, 2005, vol. 59, issue 3, 298-312

Abstract: Two multiple procedures for the detection of relevant sets of variables in a high‐dimensional problem are suggested. Multivariate tests for significance are combined with the search for interpretable multivariate structures. Thus, groups of highly correlated variables are investigated. The emphasis lies on managing the huge number of possible subsets, for example, in gene expression analysis. The first procedure is based on parametric spherical tests and an order relation of the subsets. The second procedure is a non‐parametric method utilizing Westfall–Young principles.

Date: 2005
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https://doi.org/10.1111/j.1467-9574.2005.00290.x

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