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.
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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.
- 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.
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