Equivalence theorems for c and DA-optimality for linear mixed effects models with applications to multitreatment group assignments in health care

Liu Xin; Yue Rong-Xian; Wong Weng Kee

首页> 外文期刊>scandinavian journal of statistics >Equivalence theorems for c and DA-optimality for linear mixed effects models with applications to multitreatment group assignments in health care

【24h】

Equivalence theorems for c and DA-optimality for linear mixed effects models with applications to multitreatment group assignments in health care

机译：Equivalence theorems for c and DA-optimality for linear mixed effects models with applications to multitreatment group assignments in health care

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

We construct c and DA-optimal approximate designs for linear mixed models with group-specific treatment for estimating parameters or contrasts in the population parameters. We establish equivalence theorems to confirm optimality of these designs under a linear mixed model and provide illustrative application to find D, DA and c-optimal designs for polynomial and fractional polynomial models with multitreatment group assignments. For more complex models, we briefly review metaheuristics and their potential applications to find various optimal designs, including optimal designs for problems considered here and their extensions.

著录项

来源
《scandinavian journal of statistics》 |2022年第4期|1842-1859|共18页
作者
Liu Xin; Yue Rong-Xian; Wong Weng Kee;
展开▼
作者单位

Shanghai Normal Univ;

Univ Calif Los Angeles;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
equivalence theorem; linear mixed model; optimal design; NATURE-INSPIRED OPTIMIZATION; OPTIMAL POPULATION DESIGNS; REGRESSION MODEL; PREDICTION; MINIMAX;

Equivalence theorems for c and DA-optimality for linear mixed effects models with applications to multitreatment group assignments in health care

摘要

著录项

相关主题

期刊订阅