Robustness Properties of Multiple-Objective Optimal Designs for a Bi-Exponential Model

被引：0
作者：
David Huang
Weng Kee Wong
机构：
[1] Integrated Substance Abuse Programs,Neuropsychiatric Institute
[2] University of California,Department of Biostatistics
[3] Los Angeles,undefined
来源：
Drug information journal : DIJ / Drug Information Association | 2005年 / 39卷 / 3期
关键词：
Approximate design; Compartmental model; Information matrix; D-optimality; Design efficiency; Locally optimal design;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We first discuss a design strategy for constructing locally optimal designs when there are several competing objectives in the study. Using a bi-exponential compartmental model as an illustrative example, we investigate robustness properties of the multiple-objective optimal designs to mis-specification of the nominal values of the parameters. It is shown that misspecifications in the nominal values can influence the model profile, with some parameters having a stronger influence than others. Our numerical results also show that locally multiple-objective optimal designs have different level of sensitivities under different optimality criteria.
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页码：223 / 232
页数：9
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