Designing experiments often requires balancing between learning about th...
While interest in the application of machine learning to improve healthc...
When using multi-armed bandit algorithms, the potential impact of missin...
Multi-armed bandit algorithms like Thompson Sampling can be used to cond...
Using bandit algorithms to conduct adaptive randomised experiments can
m...
Multi-armed bandit algorithms have been argued for decades as useful for...
Clinical trials of a vaccine during an epidemic face particular challeng...
The most common objective for response adaptive clinical trials is to se...
Adaptive designs for clinical trials permit alterations to a study in
re...
Phase I dose-finding trials are increasingly challenging as the relation...
Response-adaptive randomization (RAR) is part of a wider class of
data-d...