Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26304
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNASSIRI, Vahid-
dc.contributor.authorIVANOVA, Anna-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorVERBEKE, Geert-
dc.date.accessioned2018-07-12T11:04:19Z-
dc.date.available2018-07-12T11:04:19Z-
dc.date.issued2017-
dc.identifier.citationBIOMETRICAL JOURNAL, 59(6), p. 1221-1231-
dc.identifier.issn0323-3847-
dc.identifier.urihttp://hdl.handle.net/1942/26304-
dc.description.abstractA fast way is proposed based on the multiple outputation idea (Hoffman et al., 2001; Follmann et al., 2003) to calculate the precision of parameter estimates for high-dimensional multivariate joint models using a pairwise approach (Fieuws and Verbeke, 2006; Fieuws et al., 2007). Simulation results as well as data analysis shows possibly more than 2500 times faster computations using the proposed method. In our real data illustration, the time gain is more than 330 times.-
dc.description.sponsorshipThe authors gratefully acknowledge the financial support from the IAP research network #P7/06 of the Belgian Government (Belgian Science Policy). The research leading to these results has also received funding from the European Seventh Framework programme FP7 2007 - 2013 under grant agreement Nr. 602552. We gratefully acknowledge support from the IWT-SBO Exa Science grant. We are grateful for suggestions made by anonymous referees, which have greatly helped to improve this manuscript. We also wish to thank Larry Brandt and Steffen Fieuws for providing the data in Section 4. The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government department EWI.-
dc.language.isoen-
dc.publisherWILEY-
dc.rights(C) 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim-
dc.subject.othermultiple outputation; joint model; random effects-
dc.subject.otherMultiple outputation; Joint model; Random effects-
dc.titleFast precision estimation in high-dimensional multivariate joint models-
dc.typeJournal Contribution-
dc.identifier.epage1231-
dc.identifier.issue6-
dc.identifier.spage1221-
dc.identifier.volume59-
local.format.pages11-
local.bibliographicCitation.jcatA1-
dc.description.notes[Nassiri, Vahid; Ivanova, Anna; Molenberghs, Geert; Verbeke, Geert] Katholieke Univ Leuven, I BioStat, Kapucijnenvoer 35 Blok D Box 7001, BE-3000 Leuven, Belgium. [Molenberghs, Geert; Verbeke, Geert] Univ Hasselt, I BioStat, Campus Diepenbeek,Agoralaan Bldg D, BE-3590 Diepenbeek, Belgium.-
local.publisher.placeHOBOKEN-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.type.programmeVSC-
dc.identifier.doi10.1002/bimj.201600241-
dc.identifier.isi000418746100008-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
item.fullcitationNASSIRI, Vahid; IVANOVA, Anna; MOLENBERGHS, Geert & VERBEKE, Geert (2017) Fast precision estimation in high-dimensional multivariate joint models. In: BIOMETRICAL JOURNAL, 59(6), p. 1221-1231.-
item.validationecoom 2019-
item.contributorNASSIRI, Vahid-
item.contributorIVANOVA, Anna-
item.contributorMOLENBERGHS, Geert-
item.contributorVERBEKE, Geert-
crisitem.journal.issn0323-3847-
crisitem.journal.eissn1521-4036-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
nassiri 1.pdf
  Restricted Access		Published version528.14 kBAdobe PDFView/Open    Request a copy
Fast_Var_revised02.pdf
  Restricted Access		Peer-reviewed author version190.04 kBAdobe PDFView/Open    Request a copy
Show simple item record

SCOPUSTM   
Citations

2
checked on Sep 7, 2020

WEB OF SCIENCETM
Citations

3
checked on May 8, 2024

Page view(s)

78
checked on Sep 7, 2022

Download(s)

66
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.