Randomization, Regularization and Covariate Balance in Response-Adaptive Designs for Clinical Trials
Seminar Room 1, Newton Institute
AbstractResults on the sequential construction of optimum experimental designs yield a very general procedure for generating response-adaptive designs for the sequential allocation of treatments to patients in clinical trials. The designs provide balance across prognostic factors with a controllable amount of randomization and speciable skewing towards better treatments. Results on the loss, bias and power of such rules will be discussed and the importance of regularization will be stressed in the avoidance of extreme allocations. The designs will be considered in the wider context of decisions about treatment allocation to patients within the study and to the population of future patients.
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