Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30855
Full metadata record
DC FieldValueLanguage
dc.contributor.authorVERBEECK, Johan-
dc.contributor.authorOzenne, Brice-
dc.contributor.authorAnderson, William N.-
dc.date.accessioned2020-03-20T12:25:18Z-
dc.date.available2020-03-20T12:25:18Z-
dc.date.issued2020-
dc.date.submitted2020-03-20T10:05:53Z-
dc.identifier.citationJOURNAL OF BIOPHARMACEUTICAL STATISTICS, , 30(5), p. 765-782-
dc.identifier.issn1054-3406-
dc.identifier.urihttp://hdl.handle.net/1942/30855-
dc.description.abstractGeneral Pairwise Comparison (GPC) statistics, such as the net benefit and the win ratio, have been applied in clinical trial data analysis and design. In the literature, inferential methods based on re-sampling, asymptotic or exact methods have been proposed for these GPC statistics, but they have not been compared to each other. In this paper, the small sample bias of the variance estimation, Type I error control and 95% confidence interval coverage of the GPC inferential methods are evaluated using simulations. The exact permutation and bootstrap tests perform best in all evaluated aspects for the net benefit, while the exact bootstrap test performs best for the win ratio.-
dc.description.sponsorshipThis work was supported by the European Cardiovascular Research Institute (ECRI).-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS INC-
dc.rights2020 Informa UK Limited-
dc.subject.otherGeneral Pairwise Comparisons-
dc.subject.othernet benefit-
dc.subject.otherwin Ratio-
dc.subject.otherbootstrap-
dc.subject.otherpermutation-
dc.subject.otherstatistical inference-
dc.titleEvaluation of inferential methods for the net benefit and win ratio statistics-
dc.typeJournal Contribution-
dc.identifier.epage782-
dc.identifier.issue5-
dc.identifier.spage765-
dc.identifier.volume30-
local.format.pages18-
local.bibliographicCitation.jcatA1-
dc.description.notesVerbeeck, J (reprint author), Agoralaan Bldg D, B-3590 Diepenbeek, Belgium.-
dc.description.notesjohan.verbeeck@uhasselt.be-
dc.description.otherVerbeeck, J (reprint author), Agoralaan Bldg D, B-3590 Diepenbeek, Belgium. johan.verbeeck@uhasselt.be-
local.publisher.place530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.source.typeArticle-
dc.identifier.doi10.1080/10543406.2020.1730873-
dc.identifier.pmid32097079-
dc.identifier.isiWOS:000516679600001-
dc.identifier.eissn1520-5711-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.fullcitationVERBEECK, Johan; Ozenne, Brice & Anderson, William N. (2020) Evaluation of inferential methods for the net benefit and win ratio statistics. In: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, , 30(5), p. 765-782.-
item.validationecoom 2021-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.contributorVERBEECK, Johan-
item.contributorOzenne, Brice-
item.contributorAnderson, William N.-
crisitem.journal.issn1054-3406-
crisitem.journal.eissn1520-5711-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
retrieve.pdf
  Restricted Access		Published version1.6 MBAdobe PDFView/Open    Request a copy
Show simple item record

SCOPUSTM   
Citations

1
checked on Sep 7, 2020

WEB OF SCIENCETM
Citations

19
checked on Jul 18, 2024

Page view(s)

62
checked on Sep 7, 2022

Download(s)

8
checked on Sep 7, 2022

Google ScholarTM

Check

Altmetric


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