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Optimal designs for comparing population curves in hierarchical models
Statistics & Probability Letters ( IF 0.8 ) Pub Date : 2021-07-16 , DOI: 10.1016/j.spl.2021.109192
Xin Liu 1 , Min Ye 1 , Rong-Xian Yue 2
Affiliation  

Summary:

We construct μp-optimal approximate designs for comparing population curves in hierarchical models with group-specific treatment. Equivalence theorems are given to confirm μp-optimality of designs and the optimal allocation of sample size in each group. An illustrative application to find μ1 and μ-optimal designs is presented for the random slope models with two-treatment group assignments.



中文翻译:

分层模型中比较人口曲线的优化设计

概括:

我们构建 μ- 用于比较分层模型中群体曲线与组特定治疗的最佳近似设计。给出等价定理来证实μ- 设计的最优性和每组样本量的最佳分配。一个说明性的应用程序来查找μ1μ- 为具有两个治疗组分配的随机斜率模型提供了最佳设计。

更新日期:2021-07-22
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