Sequential design for binary dose-response experiments

被引：1

作者：

Yu, Xiaoli ^{[1
]}

Chen, Jiahua ^{[1
,2
]}

Brant, Rollin ^{[1
]}

机构：

[1] Univ British Columbia, Dept Stat, 3182 Earth Sci Bldg,2207 Main Mall, Vancouver, BC V6T 1Z4, Canada

[2] Yunnan Univ, Sch Math & Stat, 237 Longquan Rd, Kunming 650221, Yunnan, Peoples R China

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 2016年 / 177卷

关键词：

Clinical trial; Dose-response experiment; Optimal design; Sequential; Two-stage design; Up-and-down design; LOGISTIC-REGRESSION MODELS; NONLINEAR EXPERIMENTS; LIKELIHOOD; EXISTENCE; INFERENCE; TRIALS;

D O I：

10.1016/j.jspi.2016.04.005

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：

In dose-response studies, experinients are often carried out according to optimal designs for the purpose of accurately determining a specific effective dose (ED) level. If the interest is in the dose-response relationship over a range of ED levels, the existing optimal designs is misaligned. In this paper, we propose a two-stage sequential ED-design for this purpose. We use a small number of trials to provide a tentative estimation of the parameters. The dose levels of the subsequent trials are then selected sequentially, based on the latest model information, to maximize the efficiency of the ED estimation over several ED levels. Simulations indicate that the proposed design compares favorably with existing designs under various scenarios. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：64 / 73

页数：10

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