Multiple-objective designs in a dose-response experiment.
Multiple-objective designs in a dose-response experiment.
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DOI：
10.1081/bip-100101009
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发表时间：
2000-02-01
影响因子：
1.1
通讯作者：
Wong, W K
中科院分区：
文献类型：
--
作者：
Zhu, W;Wong, W K
本文是Huang和Wong（1）工作的扩展，他们发现了具有连续结果的模型的双目标设计。我们认为量子剂量反应实验的二进制结果和开发多目标设计两个或两个以上的贝叶斯最优性标准。使用的logit模型作为一个说明性的例子，我们构造数值最优设计，估计模型参数和最优值，在每个目标可能不平等的利益。我们还表明，流行的等剂量分配规则可以是一个相当低效的设计贝叶斯设置下估计模型参数。
This article is an extension of the work of Huang and Wong (1), who found dual-objective designs for models with a continuous outcome. We consider quantal dose-response experiments with a binary outcome and develop multiple-objective designs for two or more Bayesian optimality criteria. Using the logit model as an illustrative example, we construct numerically optimal designs for estimating model parameters and percentiles, with possibly unequal interest in each of the objectives. We also show that the popular equal dosage assignment rule can be a rather inefficient design for estimating model parameters under a Bayesian setup.