Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these interventions can be effective, real-world experimental testing can further …
Bandit algorithms such as Thompson sampling (TS) have been put forth for decades as useful tools for conducting adaptively-randomised experiments. By skewing the allocation toward superior arms, they can substantially improve particular outcomes of …
Multi-armed bandit algorithms such as Thompson sampling (TS) have been put forth for decades as useful tools for optimizing sequential decision-making in online experiments. By skewing the allocation ratio towards superior arms, they can minimize …
Adaptive digital field experiments are continually increasing in their breadth of use in fields like mobile health and digital education. Using adaptive experimentation in education can help not only to explore and eventually compare various arms but …