Subject specific and population average models for binary longitudinal data: a tutorial

被引:0
|
作者
Szmaragd, Camille [1 ]
Clarke, Paul [1 ]
Steele, Fiona [1 ]
机构
[1] Univ Bristol, Bristol, Avon, England
来源
LONGITUDINAL AND LIFE COURSE STUDIES | 2013年 / 4卷 / 02期
关键词
autocorrelation; British Household Panel Survey; hierarchical models; logistic regression; marginal models; mixed effects models; multilevel models; random effects models; repeated measures;
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Using data from the British Household Panel Survey, we illustrate how longitudinal repeated measures of binary outcomes are analysed using population average and subject specific logistic regression models. We show how the autocorrelation found in longitudinal data is accounted for by both approaches, and why, in contrast to linear models for continuous outcomes, the parameters of population average and subject specific models for binary outcomes are different. To illustrate these points, we fit different models to our data set using both approaches, and compare and contrast the results obtained. Finally, we use our example to provide some guidance on how to choose between the two approaches.
引用
收藏
页码:147 / 165
页数:19
相关论文
共 50 条
  • [1] On the correspondence between population-averaged models and a class of cluster-specific models for correlated binary data
    Sashegyi, AI
    Brown, KS
    Farrell, PJ
    STATISTICS & PROBABILITY LETTERS, 2001, 52 (02) : 135 - 144
  • [2] Multiple Imputation for Longitudinal Data: A Tutorial
    Wijesuriya, Rushani
    Moreno-Betancur, Margarita
    Carlin, John B.
    White, Ian R.
    Quartagno, Matteo
    Lee, Katherine J.
    STATISTICS IN MEDICINE, 2025, 44 (3-4)
  • [3] A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits
    Bernhardt, Paul W.
    Zhang, Daowen
    Wang, Huixia Judy
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2015, 85 : 37 - 53
  • [4] A comparison of population average and random-effect models for the analysis of longitudinal count data with base-line information
    Crouchley, R
    Davies, RB
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 1999, 162 : 331 - 347
  • [5] Multilevel models for longitudinal data
    Steele, Fiona
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2008, 171 : 5 - 19
  • [6] Marginalized models for moderate to long series of longitudinal binary response data
    Schildcrout, Jonathan S.
    Heagerty, Patrick J.
    BIOMETRICS, 2007, 63 (02) : 322 - 331
  • [7] A Tutorial on Count Regression and Zero-Altered Count Models for Longitudinal Substance Use Data
    Atkins, David C.
    Baldwin, Scott A.
    Zheng, Cheng
    Gallop, Robert J.
    Neighbors, Clayton
    PSYCHOLOGY OF ADDICTIVE BEHAVIORS, 2013, 27 (01) : 166 - 177
  • [8] Simulation evaluation of three models for correlated binary data with covariates specific to each binary observation
    Hertzberg, VS
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1997, 26 (01) : 375 - 396
  • [9] Change-Point Estimates in Longitudinal Binary Data
    吴筱如
    杨瑛
    Tsinghua Science and Technology, 2008, (04) : 553 - 559
  • [10] Beta rectangular regression models to longitudinal data
    Ribeiro, Vinicius S. O.
    Nobre, Juvencio S.
    dos Santos, Jose Roberto S.
    Azevedo, Caio L. N. .
    BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS, 2021, 35 (04) : 851 - 874