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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kiagias, Dimitrios, Russo, Giulia, Sgroi, Giuseppe, Pappalardo, Francesco, Juárez, Miguel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medical Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757686/
https://www.ncbi.nlm.nih.gov/pubmed/35047949
http://dx.doi.org/10.3389/fmedt.2021.719380

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8757686/
https://www.ncbi.nlm.nih.gov/pubmed/35047949
http://dx.doi.org/10.3389/fmedt.2021.719380

Ejemplares similares