Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring

Developing a Bayesian hierarchical model for a prospective individual patient data meta-analysis with continuous monitoring

Abstract Background Numerous clinical trials have been initiated to find effective treatments for COVID-19. These trials have often been initiated in regions where the pandemic has already peaked. Consequently, achieving full enrollment in a single trial might require additional COVID-19 surges in t...

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Bibliographic Details
Main Authors: Danni Wu, Keith S. Goldfeld, Eva Petkova
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medical Research Methodology
Subjects:
Bayesian hierarchical models
Bayesian adaptive trial design
Bayesian simulation
International consortium for data sharing
Prospective individual patient data meta-analysis
COVID-19
Online Access:https://doi.org/10.1186/s12874-022-01813-4

Internet

https://doi.org/10.1186/s12874-022-01813-4

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