Abstract
A multiple parametric test procedure is proposed, which considers tests of means of several variables. The single variables or subsets of variables are ordered according to a data-dependent criterion and tested in this succession without alpha-adjustment until the first non-significant test. The test procedure needs the assumption of a multivariate normal distribution and utilizes the theory of spherical distributions. The basic version is particularly suited for variables with approximately equal variances. As a typical example, the procedure is applied to gene expression data from a commercial array.
Keywords
Expression (computer science)Gene expressionStatisticsComputational biologyStatistical hypothesis testingComputer scienceGeneData miningMathematicsBiologyEconometricsGenetics
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Publication Info
- Year
- 2002
- Type
- article
- Volume
- 44
- Issue
- 7
- Pages
- 789-800
- Citations
- 31
- Access
- Closed
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Cite This
Siegfried Kropf,
Jürgen Läuter
(2002).
Multiple Tests for Different Sets of Variables Using a Data‐Driven Ordering of Hypotheses, with an Application to Gene Expression Data.
Biometrical Journal
, 44
(7)
, 789-800.
https://doi.org/10.1002/1521-4036(200210)44:7<789::aid-bimj789>3.0.co;2-#
Identifiers
- DOI
- 10.1002/1521-4036(200210)44:7<789::aid-bimj789>3.0.co;2-#