Literature DB >> 30500406

Hybrid models were found to be very elegant to disentangle longitudinal within- and between-subject relationships.

Jos W R Twisk1, Wieke de Vente2.   

Abstract

OBJECTIVES: The interpretation of a regression coefficient obtained from a longitudinal data analysis is a combination of a within-subject part and a between-subject part. The hybrid model is used to disentangle the two components. The purpose of this article was to illustrate and discuss the use of the hybrid model in epidemiologic studies. STUDY DESIGN AND
SETTING: In the hybrid model the between-subject part of the relationship is obtained using the individual mean value over time, whereas the within-subject part is obtained using the deviation score, that is, the differences between the observations and the individual mean value.
RESULTS: It was shown that the regression coefficient of a standard mixed model analysis is a sort of weighted average of the between- and within-subject part of the relationship. When the outcome was continuous the separate analyses to estimate the two components of a longitudinal relationship were equal to the estimation in the hybrid model. However, for dichotomous outcome, the estimations were slightly different.
CONCLUSION: The hybrid model is an elegant, easy to perform method to disentangle the within- and between-subject part of a relationship in longitudinal studies.
Copyright © 2018 Elsevier Inc. All rights reserved.

Keywords:  Between-subject effect; GEE analysis; Hybrid models; Longitudinal data analysis; Mixed models; Within-subject effect

Mesh:

Year:  2018        PMID: 30500406     DOI: 10.1016/j.jclinepi.2018.11.021

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  11 in total

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