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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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Détails bibliographiques
Publié dans:Stat Med
Auteurs principaux: Papanikos, Tasos, Thompson, John R., Abrams, Keith R., Städler, Nicolas, Ciani, Oriana, Taylor, Rod, Bujkiewicz, Sylwia
Format: Artigo
Langue:Inglês
Publié: John Wiley & Sons, Inc. 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7065251/
https://ncbi.nlm.nih.gov/pubmed/31990083
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8465
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