UCLA

We derive optimal designs to estimate efficacy and toxicity in active controlled dose-finding trials whenthe bivariate continuous outcomes are described using nonlinear regression models. We determine upperbounds on the required number of different doses and provide conditions under which the boundary pointsof the design space are included in the optimal design.We provide an analytical description of minimallysupported optimal designs and show that they do not depend on the correlation between the bivariateoutcomes.