Bayesian hierarchical meta‐analytic methods for modeling surrogate relationships that vary across treatment classes using aggregate data

Surrogate endpoints play an important role in drug development when they can be used to measure treatment effect early compared to the final clinical outcome and to predict clinical benefit or harm. Such endpoints are assessed for their predictive value of clinical benefit by investigating the surro...

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Detalles Bibliográficos
Autores principales: Papanikos, Tasos, Thompson, John R., Abrams, Keith R., Städler, Nicolas, Ciani, Oriana, Taylor, Rod, Bujkiewicz, Sylwia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065251/
https://www.ncbi.nlm.nih.gov/pubmed/31990083
http://dx.doi.org/10.1002/sim.8465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065251/
https://www.ncbi.nlm.nih.gov/pubmed/31990083
http://dx.doi.org/10.1002/sim.8465

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