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.
引用
收藏
页码：711 / 732
页数：22
相关论文
共 50 条
  • [1] Application of Multilevel Models to Structured Repeated Measurements
    Bernet Sekasanvu Kato
    Herbert Hoijtink
    Cara Verdellen
    Muriel Hagenaars
    Agnes Van Minnen
    Ger Keijsers
    [J]. Quality and Quantity, 2005, 39 : 711 - 732
  • [2] Discrete Response Multilevel Models for Repeated Measures: An Application to Voting Intentions Data
    Maria Ferrao Barbosa
    Harvey Goldstein
    [J]. Quality and Quantity, 2000, 34 (3) : 323 - 330
  • [3] Discrete response multilevel models for repeated measures: An application to voting intentions data
    Barbosa, MF
    Goldstein, H
    [J]. QUALITY & QUANTITY, 2000, 34 (03) : 323 - 330
  • [4] Bayesian spatial models with repeated measurements: with application to the herbaceous data analysis
    Sun, Xiaoqian
    He, Zhuoqiong
    Zhang, Jing
    Kabrick, John
    [J]. STATISTICAL METHODS AND APPLICATIONS, 2009, 18 (04): : 585 - 601
  • [5] Bayesian spatial models with repeated measurements: with application to the herbaceous data analysis
    Xiaoqian Sun
    Zhuoqiong He
    Jing Zhang
    John Kabrick
    [J]. Statistical Methods and Applications, 2009, 18 : 585 - 601
  • [6] A family of repeated measurements models
    Lindsey J.K.
    [J]. Statistical Methods and Applications, 2001, 10 (1-3) : 3 - 9
  • [7] Structured Models for Joint Decoding of Repeated Utterances
    Zweig, Geoffrey
    Bohus, Dan
    Li, Xiao
    Nguyen, Patrick
    [J]. INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5, 2008, : 1157 - 1160
  • [8] MULTILEVEL MODELS WITH STOCHASTIC VOLATILITY FOR REPEATED CROSS-SECTIONS: AN APPLICATION TO TRIBAL ART PRICES
    Cagnone, Silvia
    Giannerini, Simone
    Modugno, Lucia
    [J]. ANNALS OF APPLIED STATISTICS, 2017, 11 (02): : 1040 - 1062
  • [9] MODELS FOR REPEATED MEASUREMENTS - LINDSEY,JK
    不详
    [J]. PUBLIC HEALTH, 1994, 108 (06) : 463 - 464
  • [10] REGRESSION-MODELS FOR REPEATED MEASUREMENTS
    AITKIN, M
    [J]. BIOMETRICS, 1981, 37 (04) : 831 - 832
12345