Abstract It is well-known that optimal designs for logistics regression models depend on the unknown parameter values. In practice, guess values are used as proxies. Thus the actual design implemented is a pseudo optimal design. In this article, we assess whether this problem in optimality from ill-guessed parameter values can be improved by a 2-stage optimal design. We examine the optimal allocation of resources to each stage and how the 2-stage optimal design compares to the single-stage pseudo optimal design for various departures of the guess values from the true parameter values. We restrict our study to A- and D-optimality.

中文翻译：

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Logistic 剂量反应模型中两阶段自适应优化设计的性能研究

摘要 众所周知，物流回归模型的优化设计依赖于未知的参数值。在实践中，猜测值被用作代理。因此，实际实现的设计是一个伪优化设计。在本文中，我们评估是否可以通过 2 阶段优化设计来改善来自错误猜测参数值的优化问题。我们检查了每个阶段的资源优化分配，以及在猜测值与真实参数值的各种偏离情况下，两阶段优化设计与单阶段伪优化设计相比如何。我们将研究限制在 A 和 D 最优。