Optimal designs for active controlled dose-finding trials with efficacy-toxicity outcomes
针对主动对照剂量探索试验中疗效和毒性的双变量连续结果，推导了最优设计，确定了所需不同剂量的上限，并给出了设计空间边界点被纳入最优设计的条件。
We derive optimal designs to estimate efficacy and toxicity in active controlled dose-finding trials when the bivariate continuous outcomes are described using nonlinear regression models. We determine upper bounds on the required number of different doses and provide conditions under which the boundary points of the design space are included in the optimal design. We provide an analytical description of minimally supported optimal designs and show that they do not depend on the correlation between the bivariate outcomes.