A bayesian reanalysis of the phase III aducanumab (ADU) trial
Tommaso Costa, Franco Cauda

TL;DR
This paper reanalyzes the phase III aducanumab trial data using Bayesian methods, revealing very low evidence of efficacy and providing clearer insights for future Alzheimer's research.
Contribution
It introduces a Bayesian reanalysis of clinical trial data, offering a new perspective on aducanumab's efficacy beyond traditional statistical approaches.
Findings
Evidence for drug efficacy is very low.
Bayesian analysis clarifies the trial results.
Provides a framework for future clinical trial assessments.
Abstract
In this article we have conducted a reanalysis of the phase III aducanumab (ADU) summary statistics announced by Biogen, in particular the result of the Clinical Dementia Rating-Sum of Boxes (CDR-SB). The results showed that the evidence on the efficacy of the drug is very low and a more clearer view of the results of clinical trials are presented in the Bayesian framework that can be useful for future development and research in the field.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCAR-T cell therapy research · Click Chemistry and Applications · Melanoma and MAPK Pathways
