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http://hdl.handle.net/1942/33822
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DC Field | Value | Language |
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dc.contributor.author | GARCIA BARRADO, Leandro | - |
dc.contributor.author | BURZYKOWSKI, Tomasz | - |
dc.date.accessioned | 2021-04-02T12:47:15Z | - |
dc.date.available | 2021-04-02T12:47:15Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2021-03-02T11:03:36Z | - |
dc.identifier.citation | Clinical Trials, 18 (2) , p. 137 -146 (Art N° 1740774520964202) | - |
dc.identifier.uri | http://hdl.handle.net/1942/33822 | - |
dc.description.abstract | Objective: We investigate the impact of biomarker assay's accuracy on the operating characteristics of a Bayesian biomarker-driven outcome-adaptive randomization design. Methods: In a simulation study, we assume a trial with two treatments, two biomarker-based strata, and a binary clinical outcome (response). P-bt denotes the probability of response for treatment t (t = 0 or 1) in biomarker stratum (b = 0 or 1). Four different scenarios in terms of true underlying response probabilities are considered: a null (P-00 = P-01 = 0.25, P-10 = P-11= 0.25) and consistent (P-00 = P-10 = 0.25, P-01 = 0.5) treatment effect scenario, as well as a quantitative (P-00 = P-01 = P-10 = 0.25, P-11 = 0.5) and a qualitative (P-00 = P-11 = 0.5, P-01 = P-10 = 0.25) stratum-treatment interaction. For each scenario, we compare the case of a perfect with the case of an imperfect biomarker assay with sensitivity and specificity of 0.8 and 0.7, respectively. In addition, biomarker-positive prevalence values P(B = 1) = 0.2 and 0.5 are investigated. Results: Results show that the use of an imperfect assay affects the operational characteristics of the Bayesian biomarker-based outcome-adaptive randomization design. In particular, the misclassification causes a substantial reduction in power accompanied by a considerable increase in the type-I error probability. The magnitude of these effects depends on the sensitivity and specificity of the assay, as well as on the distribution of the biomarker in the patient population. Conclusion: With an imperfect biomarker assay, the decision to apply a biomarker-based outcome-adaptive randomization design may require careful reflection. | - |
dc.description.sponsorship | The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Hercules Foundation and the Flemish Government-department EWI. The authors are grateful to Marc Buyse for his comments related to various versions of this manuscript. | - |
dc.language.iso | en | - |
dc.publisher | SAGE PUBLICATIONS LTD | - |
dc.subject.other | Bayesian statistics | - |
dc.subject.other | outcome-adaptive randomization | - |
dc.subject.other | imperfect assay | - |
dc.subject.other | biomarkers | - |
dc.title | Bayesian biomarker-driven outcome-adaptive randomization with an imperfect biomarker assay | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 146 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 137 | - |
dc.identifier.volume | 18 | - |
local.format.pages | 10 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Barrado, LG (corresponding author), Hasselt Univ, I BioStat, B-3590 Diepenbeek, Belgium. | - |
dc.description.notes | leandro.garciabarrado@uhasselt.be | - |
dc.description.other | Barrado, LG (corresponding author), Hasselt Univ, I BioStat, B-3590 Diepenbeek, Belgium. leandro.garciabarrado@uhasselt.be | - |
local.publisher.place | 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 1740774520964202 | - |
dc.identifier.doi | 10.1177/1740774520964202 | - |
dc.identifier.isi | WOS:000618431200001 | - |
dc.contributor.orcid | Garcia Barrado, Leandro/0000-0003-0793-9881 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [Garcia Barrado, Leandro; Burzykowski, Tomasz] Hasselt Univ, I BioStat, B-3590 Diepenbeek, Belgium. | - |
local.description.affiliation | [Garcia Barrado, Leandro; Burzykowski, Tomasz] Int Drug Dev Inst IDDI, Louvain La Neuve, Belgium. | - |
local.description.affiliation | [Burzykowski, Tomasz] Med Univ Bialystok, Dept Stat & Med Informat, Bialystok, Poland. | - |
local.uhasselt.international | yes | - |
item.validation | ecoom 2022 | - |
item.contributor | GARCIA BARRADO, Leandro | - |
item.contributor | BURZYKOWSKI, Tomasz | - |
item.accessRights | Open Access | - |
item.fullcitation | GARCIA BARRADO, Leandro & BURZYKOWSKI, Tomasz (2020) Bayesian biomarker-driven outcome-adaptive randomization with an imperfect biomarker assay. In: Clinical Trials, 18 (2) , p. 137 -146 (Art N° 1740774520964202). | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 1740-7745 | - |
crisitem.journal.eissn | 1740-7753 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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BayesOARImpAssay_ClinicalTrials_2020.pdf Restricted Access | Published version | 403.5 kB | Adobe PDF | View/Open Request a copy |
BAR_Imp_Assay_Manuscript_PeerReviewedAuthorsVersion.pdf | Peer-reviewed author version | 1.26 MB | Adobe PDF | View/Open |
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