Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25175
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dc.contributor.authorPERUALILA, Nolen Joy-
dc.contributor.authorSHKEDY, Ziv-
dc.contributor.authorSENGUPTA, Rudradev-
dc.contributor.authorBIGIRUMURAME, Theophile-
dc.contributor.authorBIJNENS, Luc-
dc.contributor.authorTaloen, Willem-
dc.contributor.authorVerbist, Bie-
dc.contributor.authorGöhlmann, Hinrich W.H.-
dc.contributor.authorKASIM, Adetayo-
dc.date.accessioned2017-11-14T09:14:59Z-
dc.date.available2017-11-14T09:14:59Z-
dc.date.issued2016-
dc.identifier.citationAlonso, Ariel Abad; Bigirumurame, Theophile; Burzyskowski, Tomasz; Buyse, Marc; Molenberghs, Geert; Muchene, Leacky; Plrualila, Nolen Joy; Shkedy, Ziv; Van der Elst, Wim (Ed.). Applied Surrogate Endpoint Evaluation Methods with SAS and R, CRC Press, p. 275-310-
dc.identifier.isbn9781482249361-
dc.identifier.urihttp://hdl.handle.net/1942/25175-
dc.language.isoen-
dc.publisherCRC Press-
dc.relation.ispartofseriesChapman & Hall/CRC Biostatistics Series-
dc.rights(C) 2017 by Taylor & Francis Group, LLC-
dc.titleHigh-Dimensional Biomarkers in Drug Discovery: The QSTAR Framework-
dc.typeBook Section-
local.bibliographicCitation.authorsAlonso, Ariel Abad-
local.bibliographicCitation.authorsBigirumurame, Theophile-
local.bibliographicCitation.authorsBurzyskowski, Tomasz-
local.bibliographicCitation.authorsBuyse, Marc-
local.bibliographicCitation.authorsMolenberghs, Geert-
local.bibliographicCitation.authorsMuchene, Leacky-
local.bibliographicCitation.authorsPlrualila, Nolen Joy-
local.bibliographicCitation.authorsShkedy, Ziv-
local.bibliographicCitation.authorsVan der Elst, Wim-
dc.identifier.epage310-
dc.identifier.spage275-
local.bibliographicCitation.jcatB2-
local.publisher.placeBoca Raton, Florida, USA-
local.type.refereedRefereed-
local.type.specifiedBook Section-
local.identifier.vabbc:vabb:437932-
local.bibliographicCitation.btitleApplied Surrogate Endpoint Evaluation Methods with SAS and R-
item.contributorPERUALILA, Nolen Joy-
item.contributorSHKEDY, Ziv-
item.contributorSENGUPTA, Rudradev-
item.contributorBIGIRUMURAME, Theophile-
item.contributorBIJNENS, Luc-
item.contributorTaloen, Willem-
item.contributorVerbist, Bie-
item.contributorGöhlmann, Hinrich W.H.-
item.contributorKASIM, Adetayo-
item.validationvabb 2019-
item.fullcitationPERUALILA, Nolen Joy; SHKEDY, Ziv; SENGUPTA, Rudradev; BIGIRUMURAME, Theophile; BIJNENS, Luc; Taloen, Willem; Verbist, Bie; Göhlmann, Hinrich W.H. & KASIM, Adetayo (2016) High-Dimensional Biomarkers in Drug Discovery: The QSTAR Framework. In: Alonso, Ariel Abad; Bigirumurame, Theophile; Burzyskowski, Tomasz; Buyse, Marc; Molenberghs, Geert; Muchene, Leacky; Plrualila, Nolen Joy; Shkedy, Ziv; Van der Elst, Wim (Ed.). Applied Surrogate Endpoint Evaluation Methods with SAS and R, CRC Press, p. 275-310.-
item.accessRightsClosed Access-
item.fulltextNo Fulltext-
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