Bayesian Adaptive Methods for Clinical Trials¶
Berry, S. M., Carlin, Lee, & Müller, P. (2010). Bayesian Adaptive Methods for Clinical Trials. Chapman & Hall.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Cognitive Flexibility
- Adaptive management in fisheries and adaptive clinical-trial designs are the same prime codified: a portfolio of allocation rules, a trigger condition (an interim analysis), and a switching mechanism (re-randomization)
This sourceCodifies adaptive trial designs — allocation-rule portfolios with interim-analysis triggers and re-randomization — as a formal flexibility mechanism.
- Adaptive management in fisheries and adaptive clinical-trial designs are the same prime codified: a portfolio of allocation rules, a trigger condition (an interim analysis), and a switching mechanism (re-randomization)
- Experimental Design
- Adaptive designs, which adjust sample allocation based on interim data, originated in drug trials but now guide multi-armed-bandit algorithms in machine learning, a transfer Berry, Carlin, Lee, and Müller (2010) document in their treatment of Bayesian adaptive methods for clinical trials.
This sourceTreats adaptive sample-allocation methods in pharmaceutical trials and their connection to broader sequential decision problems, including parallels to multi-armed-bandit algorithms.
Supported in partVerified against the publisher's abstract
The publisher's description of Berry et al. (2010) presents a book on adaptive Bayesian designs in clinical trials; it says nothing of multi-armed bandits or machine learning.
“Already popular in the analysis of medical device trials, adaptive Bayesian designs are increasingly being used in drug development for a wide variety of diseases and conditions, from Alzheimer’s disease and multiple sclerosis to obesity, diabetes, hepatitis C, and HIV.”
- Adaptive designs, which adjust sample allocation based on interim data, originated in drug trials but now guide multi-armed-bandit algorithms in machine learning, a transfer Berry, Carlin, Lee, and Müller (2010) document in their treatment of Bayesian adaptive methods for clinical trials.
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Read against the text for 1 of 2 citations: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Was it audited? Yes. A second, independent pass read the citation against the article text and recorded a verdict.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:23f284d151ad · see in the full table