A Cochran-Armitage-type and a score-free global test for multivariate ordinal data

Author:

Jelizarow Monika12,Mansmann Ulrich23,Goeman Jelle J.14

Affiliation:

1. Biostatistics, Institute for Molecular Life Sciences; Radboud university medical center; P.O. Box 9101 Nijmegen 6500 HB The Netherlands

2. Department of Medical Informatics, Biometry and Epidemiology; Ludwig-Maximilians University Munich; Marchioninistr. 15 Munich 81377 Germany

3. Department of Statistics; Ludwig-Maximilians University Munich; Ludwigstr. 33 Munich 80539 Germany

4. Department of Medical Statistics and Bioinformatics; Leiden University Medical Center; P.O. Box 9600 Leiden 2300 RC The Netherlands

Funder

Studienstiftung des Deutschen Volkes

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference37 articles.

1. Global functional profiling of gene expression;Draghici;Genomics,2003

2. A global test for groups of genes: testing association with a clinical outcome;Goeman;Bioinformatics,2004

3. Testing differential gene expression in functional groups;Mansmann;Methods of Information in Medicine,2005

4. A multivariate approach for integrating genome-wide expression data and biological knowledge;Kong;Bioinformatics,2006

5. GlobalANCOVA: exploration and assessment of gene group effects;Hummel;Bioinformatics,2008

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