Models for the analysis of repeated continuous outcome measures in clinical trials

被引：26
|
作者：
De Livera, Alysha M. [1 ,2 ]
Zaloumis, Sophie [1 ,2 ]
Simpson, Julie A. [1 ,2 ]
机构：
[1] Univ Melbourne, Ctr Epidemiol & Biostat, Melbourne Sch Populat & Global Hlth, Melbourne, Vic 3010, Australia
[2] Victorian Ctr Biostat ViCBiostat, Melbourne, Vic, Australia
来源：
RESPIROLOGY | 2014年 / 19卷 / 02期
基金：
英国医学研究理事会;
关键词：
hierarchical model; linear mixed effects model; longitudinal data; multilevel model; respiratory;
D O I：
10.1111/resp.12217
中图分类号：
R56 [呼吸系及胸部疾病];
学科分类号：
摘要：
Repeated continuous outcome measures are common in clinical trials. In this tutorial style paper, using data collected from a trial evaluating an intervention for managing asthma and chronic obstructive pulmonary disease, we demonstrate ways of statistically analysing such data to answer frequently encountered clinical research questions. We illustrate the use of linear mixed effects modelling in doing so and discuss its advantages over several other commonly used approaches. The methods described in this paper can easily be carried out using standard statistical software.
引用
收藏
页码：155 / 161
页数：7
相关论文
共 50 条
12345