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http://hdl.handle.net/1942/28632
Title: | A Bayesian K-PD model for synergy: A case study | Authors: | LA GAMBA, Fabiola JACOBS, Tom GEYS, Helena Ver Donck, Luc FAES, Christel |
Issue Date: | 2018 | Publisher: | WILEY | Source: | Pharmaceutical statistics, 17(6), p. 674-684 | Abstract: | Coadministration of 2 or more compounds can alter both the pharmacokinetics and pharmacodynamics of individual compounds. While experiments on pharmacodynamic drug-drug interactions are usually performed in an in vitro setting, this experiment focuses on an in vivo setting. The change over time of a safety biomarker is modeled using an indirect response model, in which the virtual pharmacokinetic profile of one compound drives the effect of the other. Several experiments at different dose level combinations were performed sequentially. While a traditional frequentist analysis consists of estimating the model parameters based on all the data simultaneously, in this work, we consider a Bayesian inference framework allowing to incorporate the results from a historical dose-response experiment. | Notes: | [La Gamba, Fabiola; Jacobs, Tom; Geys, Helena; Ver Donck, Luc] Janssen Res & Dev, Turnhoutseweg 30, B-2340 Beerse, Belgium. [La Gamba, Fabiola; Geys, Helena; Faes, Christel] Hasselt Univ, I BioStat, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium. | Keywords: | Bayesian inference; coadministration; indirect response model; pharmacodynamics; pharmacokinetics;Bayesian inference; coadministration; indirect response model; pharmacodynamics; pharmacokinetics | Document URI: | http://hdl.handle.net/1942/28632 | ISSN: | 1539-1604 | e-ISSN: | 1539-1612 | DOI: | 10.1002/pst.1887 | ISI #: | 000450011300001 | Rights: | 2018 John Wiley & Sons, Ltd. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
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