Application of multilevel models to structured repeated measurements

被引：4
|
作者：
Kato, BS
Hoijtink, H
Verdellen, C
Hagenaars, M
Van Minnen, A
Keijsers, G
机构：
[1] Univ Utrecht, Dept Methodol & Stat, NL-3584 CS Utrecht, Netherlands
[2] Univ Nijmegen, Dept Clin Psychol, Nijmegen, Netherlands
来源：
QUALITY & QUANTITY | 2005年 / 39卷 / 06期
关键词：
Gilles de La Tourette's syndrome data; multilevel model; linear mixed model; longitudinal data; speech data; structured repeated measurements;
D O I：
10.1007/s11135-005-4482-y
中图分类号：
C [社会科学总论];
学科分类号：
03 ; 0303 ;
摘要：
The linear mixed-effects model has been widely used for the analysis of continuous longitudinal data. This paper demonstrates that the linear mixed model can be adapted and used for the analysis of structured repeated measurements. A computational advantage of the proposed methodology is that there is no extra burden on the analyst since any software for linear mixed-effects models can be used to fit the proposed models. Two data sets from clinical psychology are used as motivating examples and to illustrate the methods.
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页码：711 / 732
页数：22
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