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A Case Study of the Application of a Multilevel Growth Curve Model and the Prediction of Health Trajectories

Lu, W; Sacker, A; (2020) A Case Study of the Application of a Multilevel Growth Curve Model and the Prediction of Health Trajectories. SAGE Research Methods Cases: Medicine and Health 10.4135/9781529734058. Green open access

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Abstract

This case study provides guidance on the application of a multilevel growth curve model and the prediction of health trajectories. Using our secondary data analysis as an example, we introduce definitions of the multilevel growth curve model, random intercept and slope, and the intraclass correlation coefficient. We discuss time centering and time metrics, marginal effects for drawing frailty trajectories, as well as multiple imputation for handling missing values.

Type: Article
Title: A Case Study of the Application of a Multilevel Growth Curve Model and the Prediction of Health Trajectories
Open access status: An open access version is available from UCL Discovery
DOI: 10.4135/9781529734058
Publisher version: https://doi.org/10.4135/9781529734058
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Growth curve modelling, Multilevel analysis, Case study research
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health
URI: https://discovery.ucl.ac.uk/id/eprint/10094015
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