Optimal sn factorial designs when observations within-blocks are correlated

被引:5
作者
Sethuraman, Venkat S.
Raghavarao, Damaraju
Sinha, Bikas K.
机构
[1] GlaxoSmithKline R&D, Biomed Data Sci, Philadelphia, PA 19101 USA
[2] Temple Univ, Dept Stat, Philadelphia, PA 19122 USA
[3] Indian Stat Inst, Div Theoret Stat & Math, Kolkata, India
关键词
factorial design; correlated data; optimal design; intraclass correlation;
D O I
10.1016/j.csda.2005.04.020
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this article. we characterize D-optimal designs for s(n) symmetric factorial experiments when observations within blocks are correlated. The motivation to this problem lies in a pharmaceutical experiment where the experimenter needed to develop a once-daily tablet using a factorial design. These experiments are usually conducted in healthy human volunteers and the bioavailability is estimated. Since each subject is administered more than one formulation, the observations within subjects are correlated. We provide an explicit construction of D-optimal designs for s(n) factorial experiment with blocks of size s or multiples of s, where observations within blocks are correlated. We discuss in detail the construction of optimal designs for 2(n) factorial experiments. We also provide an analytical proof of the D-optimality when there exist a pair of blocks of odd size and remaining blocks are of even size. (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:2855 / 2862
页数:8
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