Robustness of optimal designs for the Michaelis-Menten model under a variation of criteria

H. Dette, C. Kiss, W. Wong
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引用次数: 2

Abstract

The Michaelis-Menten model has and continues to be one of the most widely used models in many diverse fields. In the biomedical sciences, the model continues to be ubiquitous in biochemistry, enzyme kinetics studies, nutrition science and in the pharmaceutical sciences. Despite its wide ranging applications across disciplines, design issues for this model are given short shrift. This paper focuses on design issues and provides a variety of optimal designs of this model. In addition, we evaluate robustness properties of the optimal designs under a variation in optimality criteria. To facilitate use of optimal design ideas in practice, we design a web site for generating and comparing dfferent types of tailor-made optimal designs and user-supplied designs for the Michaelis-Menten and related models.
标准变化下Michaelis-Menten模型最优设计的稳健性
Michaelis-Menten模型已经并将继续成为许多不同领域中使用最广泛的模型之一。在生物医学科学中,该模型继续在生物化学、酶动力学研究、营养科学和制药科学中无处不在。尽管它在各个学科的应用范围很广,但这种模型的设计问题却被忽视了。本文重点讨论了该模型的设计问题,并提供了多种优化设计方案。此外,我们评估了在不同的最优性准则下的最优设计的鲁棒性。为了便于在实践中使用最佳设计思想,我们设计了一个网站,为Michaelis-Menten和相关模型生成和比较不同类型的量身定制的最佳设计和用户提供的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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