Add to ORKGABSTRACT: We propose a delayed response model for a Bernoulli 2-armed bandit. Patients arrive according to a Poisson process and their response times are exponential. We develop optimal solutions, and compare to previously suggested designs
Current algorithms for the standard multi-armed bandit problem have good empirical performance and o...
Consider a Bayesian sequential allocation problem that incorporates a covariate. The goal is to maxi...
We consider optimal design problems for dose-finding studies with censored Weibull time-to-event out...
Adaptive designs are effective mechanisms for flexibly allocating experimental resources. In clinica...
We have constructed a response adaptive clinical trial to treat patients sequentially in order to ma...
Multi-armed bandit (MAB) problems, typically modeled as Markov decision processes (MDPs), exemplify ...
Adaptive designs for multi-armed clinical trials have become increasingly popular recently because o...
We propose a novel response-adaptive randomisation procedure for multi-armed trials with normally di...
This article considers an important class of discrete time restless bandits, given by the discounted...
Abstract Several allocation rules are examined for the problem of optimizing a response function for...
Powerful ideas recently appeared in the literature are adjusted and combined to design improved samp...
We propose a novel response-adaptive randomization procedure for multi-armed trials with continuous ...
The primary goal of clinical trials is to collect enough scientific evidence for a new intervention....
Response-adaptive randomisation (RAR) can considerably improve the chances of a successful treatment...
Clinical trials have traditionally followed a fixed design, in which randomization probabilities of ...
Current algorithms for the standard multi-armed bandit problem have good empirical performance and o...
Consider a Bayesian sequential allocation problem that incorporates a covariate. The goal is to maxi...
We consider optimal design problems for dose-finding studies with censored Weibull time-to-event out...
Adaptive designs are effective mechanisms for flexibly allocating experimental resources. In clinica...
We have constructed a response adaptive clinical trial to treat patients sequentially in order to ma...
Multi-armed bandit (MAB) problems, typically modeled as Markov decision processes (MDPs), exemplify ...
Adaptive designs for multi-armed clinical trials have become increasingly popular recently because o...
We propose a novel response-adaptive randomisation procedure for multi-armed trials with normally di...
This article considers an important class of discrete time restless bandits, given by the discounted...
Abstract Several allocation rules are examined for the problem of optimizing a response function for...
Powerful ideas recently appeared in the literature are adjusted and combined to design improved samp...
We propose a novel response-adaptive randomization procedure for multi-armed trials with continuous ...
The primary goal of clinical trials is to collect enough scientific evidence for a new intervention....
Response-adaptive randomisation (RAR) can considerably improve the chances of a successful treatment...
Clinical trials have traditionally followed a fixed design, in which randomization probabilities of ...
Current algorithms for the standard multi-armed bandit problem have good empirical performance and o...
Consider a Bayesian sequential allocation problem that incorporates a covariate. The goal is to maxi...
We consider optimal design problems for dose-finding studies with censored Weibull time-to-event out...