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Cited by 247Statistical Methods and Bayesian InferenceSpatial and Panel Data AnalysisAgriculture, Soil, Plant Science

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Multilevel Models for Longitudinal Data

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Steele, Fiona·2008·Journal of the Royal Statistical Society Series A (Statistics in Society)
DOI 10.1111/j.1467-985x.2007.00509.x
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Abstract

Summary Repeated measures and repeated events data have a hierarchical structure which can be analysed by using multilevel models. A growth curve model is an example of a multilevel random-coefficients model, whereas a discrete time event history model for recurrent events can be fitted as a multilevel logistic regression model. The paper describes extensions to the basic growth curve model to handle auto-correlated residuals, multiple-indicator latent variables and correlated growth processes, and event history models for correlated event processes. The multilevel approach to the analysis of repeated measures data is contrasted with structural equation modelling. The methods are illustrated in analyses of children’s growth, changes in social and political attitudes, and the interrelationship between partnership transitions and childbearing.

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Research works printed but not linked: 7

  1. Allison, 1982, Sociological Methodology, 61
  2. Browne, 2004, MCMC Estimation in MLwiN
  3. Carpenter, 2004, Multiple imputation in MLwiN, Multilev. Modllng Newslett., 16, 9
  4. Rasbash, 2004, A User’s Guide to MLwiN, v2.0
  5. Shepherd, 1997, The National Child Development Study: an Introduction to the Origins of the Study and the Methods of Data Collection
  6. Spiegelhalter, 2000, WinBUGS Version 1.3 User Manual
  7. UK Data Archive, 2004, ESDS longitudinal, British Household Panel Survey; waves 1-11, 1991-2002: teaching dataset (social and political attitudes)

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Metadata

Authors
Steele, F.
Affiliations
University of Bristol (GB)
Corresponding author
Steele, Fiona
Venue
Journal of the Royal Statistical Society Series A (Statistics in Society)
Publisher
Oxford University Press (OUP)
Published
2007-10-29
Volume
171
Issue
1
Pages
5-19
ISSN
  • 0964-1998 (ISSN-L)
  • 1467-985X
DOI
10.1111/j.1467-985x.2007.00509.x
OpenAlex
W2104023838
Cited by
247
References
35
Citations by year
2026: 13 · 2025: 11 · 2024: 6 · 2023: 12 · 2022: 12 · 2021: 22 · 2020: 16 · 2019: 23 · 2018: 23 · 2017: 15 · 2016: 14 · 2015: 19 · 2014: 13 · 2013: 10 · 2012: 12
FWCI
5.03
Type
journal article
Language
en
Open access
Licence
academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
Locations
  • Journal of the Royal Statistical Society Series A (Statistics in Society) (publishedVersion)
  • London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
  • Bristol Research (University of Bristol) (submittedVersion)
Funders
Economic and Social Research Council (ES/E00234X/1)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Agriculture, Soil, Plant Science
Keywords
multilevel models, longitudinal data, repeated measures, growth curve models, random coefficient models, event history models, recurrent events, multilevel logistic regression, autocorrelated residuals, structural equation modeling, child growth, attitude change, childbearing

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