Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination
We propose a Bayesian hierarchical method for combining in silico and in vivo data onto an augmented clinical trial with binary end points. The joint posterior distribution from the in silico experiment is treated as a prior, weighted by a measure of compatibility of the shared characteristics with...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Medical Technology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmedt.2021.719380/full |
| _version_ | 1829500876637601792 |
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| author | Dimitrios Kiagias Giulia Russo Giuseppe Sgroi Francesco Pappalardo Miguel A. Juárez |
| author_facet | Dimitrios Kiagias Giulia Russo Giuseppe Sgroi Francesco Pappalardo Miguel A. Juárez |
| author_sort | Dimitrios Kiagias |
| collection | DOAJ |
| description | We propose a Bayesian hierarchical method for combining in silico and in vivo data onto an augmented clinical trial with binary end points. The joint posterior distribution from the in silico experiment is treated as a prior, weighted by a measure of compatibility of the shared characteristics with the in vivo data. We also formalise the contribution and impact of in silico information in the augmented trial. We illustrate our approach to inference with in silico data from the UISS-TB simulator, a bespoke simulator of virtual patients with tuberculosis infection, and synthetic physical patients from a clinical trial. |
| first_indexed | 2024-12-16T09:04:59Z |
| format | Article |
| id | doaj.art-6af8969e2d9b47448a046cb073d74346 |
| institution | Directory Open Access Journal |
| issn | 2673-3129 |
| language | English |
| last_indexed | 2024-12-16T09:04:59Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medical Technology |
| spelling | doaj.art-6af8969e2d9b47448a046cb073d743462022-12-21T22:37:05ZengFrontiers Media S.A.Frontiers in Medical Technology2673-31292021-10-01310.3389/fmedt.2021.719380719380Bayesian Augmented Clinical Trials in TB Therapeutic VaccinationDimitrios Kiagias0Giulia Russo1Giuseppe Sgroi2Francesco Pappalardo3Miguel A. Juárez4School of Mathematics and Statistics, University of Sheffield, Sheffield, United KingdomDepartment of Drug Sciences, University of Catania, Catania, ItalyDepartment of Mathematics and Computer Science, University of Catania, Catania, ItalyDepartment of Drug Sciences, University of Catania, Catania, ItalySchool of Mathematics and Statistics, University of Sheffield, Sheffield, United KingdomWe propose a Bayesian hierarchical method for combining in silico and in vivo data onto an augmented clinical trial with binary end points. The joint posterior distribution from the in silico experiment is treated as a prior, weighted by a measure of compatibility of the shared characteristics with the in vivo data. We also formalise the contribution and impact of in silico information in the augmented trial. We illustrate our approach to inference with in silico data from the UISS-TB simulator, a bespoke simulator of virtual patients with tuberculosis infection, and synthetic physical patients from a clinical trial.https://www.frontiersin.org/articles/10.3389/fmedt.2021.719380/fullBayesian hierarchical modelclinical trialsinformation sharingin silico experimentspower priortuberculosis |
| spellingShingle | Dimitrios Kiagias Giulia Russo Giuseppe Sgroi Francesco Pappalardo Miguel A. Juárez Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination Frontiers in Medical Technology Bayesian hierarchical model clinical trials information sharing in silico experiments power prior tuberculosis |
| title | Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination |
| title_full | Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination |
| title_fullStr | Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination |
| title_full_unstemmed | Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination |
| title_short | Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination |
| title_sort | bayesian augmented clinical trials in tb therapeutic vaccination |
| topic | Bayesian hierarchical model clinical trials information sharing in silico experiments power prior tuberculosis |
| url | https://www.frontiersin.org/articles/10.3389/fmedt.2021.719380/full |
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