University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Randomization, Regularization and Covariate Balance in Response-Adaptive Designs for Clinical Trials

Randomization, Regularization and Covariate Balance in Response-Adaptive Designs for Clinical Trials

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Mustapha Amrani.

Design and Analysis of Experiments

Results 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 speci able 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.

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2021 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity