Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination

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...

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Bibliographic Details
Main Authors: Dimitrios Kiagias, Giulia Russo, Giuseppe Sgroi, Francesco Pappalardo, Miguel A. Juárez
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Medical Technology
Subjects:
Bayesian hierarchical model
clinical trials
information sharing
in silico experiments
power prior
tuberculosis
Online Access:https://www.frontiersin.org/articles/10.3389/fmedt.2021.719380/full

Internet

https://www.frontiersin.org/articles/10.3389/fmedt.2021.719380/full

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