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http://hdl.handle.net/1942/32462
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DC Field | Value | Language |
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dc.contributor.author | LA GAMBA, Fabiola | - |
dc.contributor.author | JACOBS, Tom | - |
dc.contributor.author | SERROYEN, Jan | - |
dc.contributor.author | GEYS, Helena | - |
dc.contributor.author | FAES, Christel | - |
dc.date.accessioned | 2020-10-13T13:49:33Z | - |
dc.date.available | 2020-10-13T13:49:33Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2020-09-09T12:35:26Z | - |
dc.identifier.citation | JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 31(1), p. 25-36 | - |
dc.identifier.uri | http://hdl.handle.net/1942/32462 | - |
dc.description.abstract | Bayesian sequential integration is an appealing approach in drug development, as it allows to recursively update posterior distributions as soon as new data become available, thus considerably reducing the computation time. However, preclinical trials are often characterized by small sample sizes, which may affect the estimation process during the first integration steps, particularly when complex PK-PD models are used. In this case, sequential integration would not be practicable, and trials should be pooled together. This work is aimed at comparing simple Bayesian pooling with sequential integration through a simulation study. The two techniques are compared under several scenarios using linear as well as nonlinear models. The results of our simulation study encourage the use of Bayesian sequential integration with linear models. However, in the case of nonlinear models several caveats arise. This paper outlines some important recommendations and precautions in that respect. | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS INC | - |
dc.rights | 2020 Informa UK Limited. | - |
dc.subject.other | Bayesian methods | - |
dc.subject.other | nonlinear models | - |
dc.subject.other | pharmacokinetics | - |
dc.subject.other | pharmacodynamics | - |
dc.subject.other | preclinical | - |
dc.subject.other | sequential analysis | - |
dc.title | Bayesian pooling versus sequential integration of small preclinical trials: a comparison within linear and nonlinear modeling frameworks | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 36 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 25 | - |
dc.identifier.volume | 31 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | La Gamba, F (corresponding author), Janssen Res & Dev, Dept Quantitat Sci, Beerse, Belgium.; La Gamba, F (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. | - |
dc.description.notes | fabiola.lagamba@gmail.com | - |
dc.description.other | La Gamba, F (corresponding author), Janssen Res & Dev, Dept Quantitat Sci, Beerse, Belgium; Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. fabiola.lagamba@gmail.com | - |
local.publisher.place | 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1080/10543406.2020.1776312 | - |
dc.identifier.pmid | 32552560 | - |
dc.identifier.isi | WOS:000547955900001 | - |
dc.contributor.orcid | FAES, Christel/0000-0002-1878-9869 | - |
local.provider.type | wosris | - |
local.uhasselt.uhpub | yes | - |
local.description.affiliation | [La Gamba, Fabiola; Jacobs, Tom; Serroyen, Jan; Geys, Helena] Janssen Res & Dev, Dept Quantitat Sci, Beerse, Belgium. | - |
local.description.affiliation | [La Gamba, Fabiola; Geys, Helena; Faes, Christel] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. | - |
local.uhasselt.international | no | - |
item.contributor | LA GAMBA, Fabiola | - |
item.contributor | JACOBS, Tom | - |
item.contributor | SERROYEN, Jan | - |
item.contributor | GEYS, Helena | - |
item.contributor | FAES, Christel | - |
item.fullcitation | LA GAMBA, Fabiola; JACOBS, Tom; SERROYEN, Jan; GEYS, Helena & FAES, Christel (2021) Bayesian pooling versus sequential integration of small preclinical trials: a comparison within linear and nonlinear modeling frameworks. In: JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 31(1), p. 25-36. | - |
item.accessRights | Closed Access | - |
item.fulltext | No Fulltext | - |
item.validation | ecoom 2021 | - |
crisitem.journal.issn | 1054-3406 | - |
crisitem.journal.eissn | 1520-5711 | - |
Appears in Collections: | Research publications |
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