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http://hdl.handle.net/1942/24156
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DC Field | Value | Language |
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dc.contributor.author | Desmet, Lieven | - |
dc.contributor.author | Venet, David | - |
dc.contributor.author | Doffagne, Erik | - |
dc.contributor.author | Timmermans, Catherine | - |
dc.contributor.author | LEGRAND, Catherine | - |
dc.contributor.author | BURZYKOWSKI, Tomasz | - |
dc.contributor.author | BUYSE, Marc | - |
dc.date.accessioned | 2017-08-08T07:51:02Z | - |
dc.date.available | 2017-08-08T07:51:02Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 9(1), p. 1-11 | - |
dc.identifier.issn | 1946-6315 | - |
dc.identifier.uri | http://hdl.handle.net/1942/24156 | - |
dc.description.abstract | As part of central statistical monitoring of multicenter clinical trial data, we propose a procedure based on the beta-binomial distribution for the detection of centers with atypical values for the probability of some event. The procedure makes no assumptions about the typical event proportion and uses the event counts from all centers to derive a reference model. The procedure is shown through simulations to have high sensitivity and high specificity if the contamination rate is small and the atypical event proportions are the result of some systematic shift in the underlying data-generating mechanism. | - |
dc.description.sponsorship | The authors gratefully acknowledge financial support from the Walloon Government under the BioWin framework (Consortium agreement nr. 6741). Partial support for this research (Catherine Legrand and Tomasz Burzykowski) was provided by the IAP Research Network P7/06 of the Belgian State (Belgian Science Policy). | - |
dc.language.iso | en | - |
dc.publisher | AMER STATISTICAL ASSOC | - |
dc.subject.other | Beta-binomial; Central statistical monitoring; Error detection; Multicenter clinical trial | - |
dc.subject.other | beta-binomial; central statistical monitoring; error detection; multicenter clinical trial | - |
dc.title | Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 11 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 1 | - |
dc.identifier.volume | 9 | - |
local.format.pages | 11 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Desmet, Lieven; Timmermans, Catherine; Legrand, Catherine] Catholic Univ Louvain, ISBA, Louvain La Neuve, Belgium. [Venet, David] Univ Libre Bruxelles, IRIDIA, Brussels, Belgium. [Venet, David] Univ Libre Bruxelles, Inst Bordet, Breast Canc Translat Res Lab, Brussels, Belgium. [Doffagne, Erik] CluePoints SA, Louvain La Neuve, Belgium. [Timmermans, Catherine] Univ Liege, Dept Math, Liege, Belgium. [Burzykowski, Tomasz] IDDI, Louvain La Neuve, Belgium. [Burzykowski, Tomasz; Buyse, Marc] Hasselt Univ, I BioStat, Hasselt, Belgium. [Buyse, Marc] IDDI, Biostat, San Francisco, CA USA. | - |
local.publisher.place | ALEXANDRIA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1080/19466315.2016.1164751 | - |
dc.identifier.isi | 000397258400001 | - |
item.validation | ecoom 2018 | - |
item.accessRights | Open Access | - |
item.fullcitation | Desmet, Lieven; Venet, David; Doffagne, Erik; Timmermans, Catherine; LEGRAND, Catherine; BURZYKOWSKI, Tomasz & BUYSE, Marc (2017) Use of the Beta-Binomial Model for Central Statistical Monitoring of Multicenter Clinical Trials. In: STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 9(1), p. 1-11. | - |
item.fulltext | With Fulltext | - |
item.contributor | Desmet, Lieven | - |
item.contributor | Venet, David | - |
item.contributor | Doffagne, Erik | - |
item.contributor | Timmermans, Catherine | - |
item.contributor | LEGRAND, Catherine | - |
item.contributor | BURZYKOWSKI, Tomasz | - |
item.contributor | BUYSE, Marc | - |
crisitem.journal.issn | 1946-6315 | - |
crisitem.journal.eissn | 1946-6315 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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Desmet_et_al_Betabin.pdf | Peer-reviewed author version | 16.57 MB | Adobe PDF | View/Open |
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