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Article: Detecting case–control expression quantitative trait loci using locally most powerful or maximin robust rank tests

TitleDetecting case–control expression quantitative trait loci using locally most powerful or maximin robust rank tests
Authors
KeywordsCase–control Study
Eqtl
Gene Expression
Genome Wide
Locally Most Powerful Rank Test
Maximin Efficiency Robust Test
Quantitative Trait Loci
Issue Date2012
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/
Citation
Statistics in Medicine, 2012, v. 31, p. 887-900 How to Cite?
AbstractIn testing genome‐wide gene expression quantitative trait loci, efficiency robust statistical methods and their computational convenience are most relevant. For this purpose, we propose to use a modified locally most powerful rank test for the analysis of case–control expression data. This modified rank test statistic is computationally simple, robust for non‐normally distributed expression data, and asymptotically locally most powerful. It depends on the specification of a location distribution form for data but is not sensitive to misspecifications. When such a location distribution form cannot be specified, we apply Gastwirth's maximin efficiency robust rank test to gene expression data to maximize the worst Pitman asymptotic relative efficiency among a family of location distributions. We conduct simulation studies to assess their performance and use an application to real data for illustration. Copyright © 2011 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/221677
ISSN
2015 Impact Factor: 1.533
2015 SCImago Journal Rankings: 1.811
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorYuan, A-
dc.contributor.authorXu, J-
dc.contributor.authorYue, Q-
dc.contributor.authorZheng, G-
dc.date.accessioned2015-12-04T15:29:01Z-
dc.date.available2015-12-04T15:29:01Z-
dc.date.issued2012-
dc.identifier.citationStatistics in Medicine, 2012, v. 31, p. 887-900-
dc.identifier.issn0277-6715-
dc.identifier.urihttp://hdl.handle.net/10722/221677-
dc.description.abstractIn testing genome‐wide gene expression quantitative trait loci, efficiency robust statistical methods and their computational convenience are most relevant. For this purpose, we propose to use a modified locally most powerful rank test for the analysis of case–control expression data. This modified rank test statistic is computationally simple, robust for non‐normally distributed expression data, and asymptotically locally most powerful. It depends on the specification of a location distribution form for data but is not sensitive to misspecifications. When such a location distribution form cannot be specified, we apply Gastwirth's maximin efficiency robust rank test to gene expression data to maximize the worst Pitman asymptotic relative efficiency among a family of location distributions. We conduct simulation studies to assess their performance and use an application to real data for illustration. Copyright © 2011 John Wiley & Sons, Ltd.-
dc.languageeng-
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/-
dc.relation.ispartofStatistics in Medicine-
dc.subjectCase–control Study-
dc.subjectEqtl-
dc.subjectGene Expression-
dc.subjectGenome Wide-
dc.subjectLocally Most Powerful Rank Test-
dc.subjectMaximin Efficiency Robust Test-
dc.subjectQuantitative Trait Loci-
dc.titleDetecting case–control expression quantitative trait loci using locally most powerful or maximin robust rank tests-
dc.typeArticle-
dc.identifier.emailXu, J: xujf@hku.hk-
dc.identifier.authorityXu, J=rp02086-
dc.identifier.doi10.1002/sim.4461-
dc.identifier.pmid22173706-
dc.identifier.scopuseid_2-s2.0-84859603558-
dc.identifier.volume31-
dc.identifier.spage887-
dc.identifier.epage900-
dc.identifier.isiWOS:000302615800007-

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