Response adaptive repeated measurement designs in the presence of treatment effects
by Keumhee Carrière Chough
Abstract: A multiple-objective allocation strategy was recently proposed for constructing response-adaptive repeated measurement designs for continuous responses. In this talk, we briefly review and extend the allocation strategy to constructing response-adaptive repeated measurement designs for binary responses. Through computer simulations, we find that the allocation strategy developed for continuous responses also works well for binary responses and it can successfully allocate more patients to better treatment sequences without sacrificing much of estimation precision. However, design efficiency in terms of mean squared error drops sharply as more emphasis is placed on increasing treatment benefit than estimation precision. We also find that the allocation for the binary response case is rather largely spread out over the treatment sequences considered, leading to designs with many treatment sequences, unlike the continuous response case, where the adaptive designs often coincided with the fixed optimal designs. I will also briefly introduce optimal N of 1 trial designs.
For More Information: contact: Mihee Lee. email: email@example.com