Optimum designs for estimating EDp based on raw optical density data

被引：5

作者：

Hedayat, AS

Yan, B

Pezzuto, JM

机构：

[1] Univ Illinois, Dept Math Stat & Comp Sci, Chicago, IL 60607 USA

[2] Univ Illinois, Dept Med Chem & Pharmacognosy, Chicago, IL 60607 USA

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 2002年 / 104卷 / 01期

基金：

美国国家卫生研究院; 美国国家科学基金会;

关键词：

nonlinear model; efficient designs; robustness; skewed models; inforination matrix; EDp-optimal; dose-response analysis; drug discovery;

D O I：

10.1016/S0378-3758(01)00120-3

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

For raw optical density (ROD) data, such as those generated in biological assays employing an ELISA plate reader, EDp-optinial designs are identified for a family of homogeneous non-linear models with two parameters, In every case, the theoretical EDp-optimal design is a design with one or two support points. These theoretical optimal designs might not be suitable for many practical applications. To overcome this shortcoming, we have specified EDp-optimal designs within the class of k-point equally spaced and uniform designs. The efficiency robustness of these designs with respect to initial nominal values of the parameters have been investigated. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：161 / 174

页数：14

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