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01/03/2023
Computing the Performance of A New Adaptive Sampling Algorithm Based on The Gittins Index in Experiments with Exponential Rewards
Designing experiments often requires balancing between learning about th...
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05/18/2022
Multi-disciplinary fairness considerations in machine learning for clinical trials
While interest in the application of machine learning to improve healthc...
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05/08/2022
Some performance considerations when using multi-armed bandit algorithms in the presence of missing data
When using multi-armed bandit algorithms, the potential impact of missin...
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12/15/2021
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization
Multi-armed bandit algorithms like Thompson Sampling can be used to cond...
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10/30/2021
Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling
Using bandit algorithms to conduct adaptive randomised experiments can m...
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03/22/2021
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments
Multi-armed bandit algorithms have been argued for decades as useful for...
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03/13/2021
Quantifying efficiency gains of innovative designs of two-arm vaccine trials for COVID-19 using an epidemic simulation model
Clinical trials of a vaccine during an epidemic face particular challeng...
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11/06/2020
A Novel Statistical Test for Treatment Differences in Clinical Trials using a Response Adaptive Forward Looking Gittins Index Rule
The most common objective for response adaptive clinical trials is to se...
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06/23/2020
Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs
Adaptive designs for clinical trials permit alterations to a study in re...
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06/09/2020
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Phase I dose-finding trials are increasingly challenging as the relation...
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05/01/2020
