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Selecting and fitting graphical chain models to longitudinal data

Borgoni, Riccardo, Berrington, Ann M. and Smith, Peter W. F. (2004) Selecting and fitting graphical chain models to longitudinal data , Southampton, UK Southampton Statistical Sciences Research Institute 33pp. (S3RI Methodology Working Papers, M04/05).

Record type: Monograph (Project Report)


The aim of this paper is to demonstrate how graphical chain models can be used as effective tools in life course research focusing in particular on models for longitudinal prospective data. The substantive research question focuses on whether young motherhood is a pathway through which socio-economic disadvantage in childhood is related to poor self-reported health in adulthood among the 1970 British birth cohort. By breaking down large multivariate systems into simpler more tractable subcomponents and analysing them via local regressions, graphical models helps the understanding of complicated life course processes, show the intermediate relationships between predictors, and aid the understanding of the mechanisms through which potential confounding and mediating factors affect the outcome of interest.

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Published date: 2004


Local EPrints ID: 8178
PURE UUID: 8c06ee77-05aa-4c50-b555-1aa0f685fef8
ORCID for Peter W. F. Smith: ORCID iD

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Date deposited: 11 Jul 2004
Last modified: 17 Jul 2017 17:13

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