Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24374
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dc.contributor.authorPeng, Jianan-
dc.contributor.authorLiu, Wei-
dc.contributor.authorBretz, Frank-
dc.contributor.authorSHKEDY, Ziv-
dc.date.accessioned2017-09-06T10:31:24Z-
dc.date.available2017-09-06T10:31:24Z-
dc.date.issued2017-
dc.identifier.citationBIOMETRICAL JOURNAL, 59(4), p. 732-745-
dc.identifier.issn0323-3847-
dc.identifier.urihttp://hdl.handle.net/1942/24374-
dc.description.abstractBenjamini and Yekutieli () introduced the concept of the false coverage-statement rate (FCR) to account for selection when the confidence intervals (CIs) are constructed only for the selected parameters. Dose-response analysis in dose-response microarray experiments is conducted only for genes having monotone dose-response relationship, which is a selection problem. In this paper, we consider multiple CIs for the mean gene expression difference between the highest dose and control in monotone dose-response microarray experiments for selected parameters adjusted for the FCR. A simulation study is conducted to study the performance of the method proposed. The method is applied to a real dose-response microarray experiment with 16, 998 genes for illustration.-
dc.description.sponsorshipThe authors are grateful to the editor and two anonymous referees for their comments and suggestions that led to substantial improvements in the manuscript. The first author's research was partially supported by NSERC of Canada.-
dc.language.isoen-
dc.publisherWILEY-
dc.rights(c) 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim-
dc.subject.otherdose-response study; FCR; FDR; order-restricted inference; selective inference-
dc.subject.otherDose-response study; FCR; FDR; Order-restricted inference; Selective inference-
dc.titleMultiple confidence intervals for selected parameters adjusted for the false coverage rate in monotone dose-response microarray experiments-
dc.typeJournal Contribution-
local.bibliographicCitation.conferencedateSEP 02-05, 2015-
local.bibliographicCitation.conferencename9th International Conference on Multiple Comparison Procedures (MCP)-
local.bibliographicCitation.conferenceplaceHyderabad, INDIA-
dc.identifier.epage745-
dc.identifier.issue4-
dc.identifier.spage732-
dc.identifier.volume59-
local.format.pages14-
local.bibliographicCitation.jcatA1-
dc.description.notes[Peng, Jianan] Acadia Univ, Dept Math & Stat, Wolfville, NS B4P 2R6, Canada. [Liu, Wei] Univ Southampton, S3RI, Southampton SO17 1BJ, Hants, England. [Liu, Wei] Univ Southampton, Sch Math, Southampton SO17 1BJ, Hants, England. [Bretz, Frank] Novartis Pharma AG, CH-4002 Basel, Switzerland. [Bretz, Frank] Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China. [Shkedy, Ziv] Univ Hasselt, Ctr Stat CenStat, BioStat 1, Campus Diepenbeek,Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium.-
local.publisher.placeHOBOKEN-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1002/bimj.201500254-
dc.identifier.isi000404907800010-
item.fulltextWith Fulltext-
item.contributorPeng, Jianan-
item.contributorLiu, Wei-
item.contributorBretz, Frank-
item.contributorSHKEDY, Ziv-
item.accessRightsRestricted Access-
item.fullcitationPeng, Jianan; Liu, Wei; Bretz, Frank & SHKEDY, Ziv (2017) Multiple confidence intervals for selected parameters adjusted for the false coverage rate in monotone dose-response microarray experiments. In: BIOMETRICAL JOURNAL, 59(4), p. 732-745.-
item.validationecoom 2018-
crisitem.journal.issn0323-3847-
crisitem.journal.eissn1521-4036-
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