Multiple Tests for Different Sets of Variables Using a Data-Driven Ordering of Hypotheses, with an Application to Gene Expression Data

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 tes...

Full description

Saved in:
Bibliographic Details
Published in:Biometrical journal 2002-10, Vol.44 (7), p.789-800
Main Authors: Kropf, S., Läuter, J.
Format: Article
Language:English
Subjects:
Applications
Biology, psychology, social sciences
Data-driven order of hypotheses
Exact sciences and technology
Gene expression
Mathematics
Medical sciences
Multiple tests
Multivariate analysis
Probability and statistics
Sciences and techniques of general use
Score-based tests
Statistics
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0323-3847
1521-4036
DOI:10.1002/1521-4036(200210)44:7<789::AID-BIMJ789>3.0.CO;2-#