Methods for the construction of dose–response designs are presented that are robust against possible model misspecifications and mislabelled responses. The asymptotic properties are studied, leading to asymptotically minimax designs that minimize the maximum – over neighbourhoods of both types of model inadequacies – value of the mean squared error of the predictions. Both sequential and adaptive approaches are studied. Finite sample simulations and examples illustrate the gains to be made by adaptivity.

中文翻译：

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剂量反应研究的稳健设计：模型和标签的稳健性

提出了构建剂量反应设计的方法，这些方法可有效应对可能出现的模型错误指定和标记错误的反应。对渐近性质进行了研究，得出了渐近最小极大值设计，这些设计使两种类型的模型不足之处的邻域中的预测均方误差的最大值最小。研究了顺序方法和自适应方法。有限的样本仿真和示例说明了自适应带来的收益。