Simulating interventions in graphical chain models for longitudinal data
Simulating interventions in graphical chain models for longitudinal data
We propose a method to simulate the effects of an intervention to a complex system of interacting variables whose association structure is represented by a graphical chain model. Our approach takes into account both the direct and indirect effects of the intervention on the outcome of interest. We apply our approach to assess the effect of a policy to improve the mental health of teenage mothers using a model fitted to data from the 1970 British Birth Cohort Study. Since some of the conditional probabilities required are not directly available, we estimate them using a Gibbs sampler.
1970 british birth cohort study, dependency network, gibbs sampling, graphical chain models, intervention, mental health of teenage mothers
1-18
Borgoni, Riccardo
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Smith, Peter W.F.
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Berrington, Ann
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19 March 2014
Borgoni, Riccardo
df9c90ab-c2d2-47d6-bcc7-1444a605d6ff
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Berrington, Ann
bd0fc093-310d-4236-8126-ca0c7eb9ddde
Borgoni, Riccardo, Smith, Peter W.F. and Berrington, Ann
(2014)
Simulating interventions in graphical chain models for longitudinal data.
Quality & Quantity, .
(doi:10.1007/s11135-014-0011-1).
Abstract
We propose a method to simulate the effects of an intervention to a complex system of interacting variables whose association structure is represented by a graphical chain model. Our approach takes into account both the direct and indirect effects of the intervention on the outcome of interest. We apply our approach to assess the effect of a policy to improve the mental health of teenage mothers using a model fitted to data from the 1970 British Birth Cohort Study. Since some of the conditional probabilities required are not directly available, we estimate them using a Gibbs sampler.
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Published date: 19 March 2014
Keywords:
1970 british birth cohort study, dependency network, gibbs sampling, graphical chain models, intervention, mental health of teenage mothers
Organisations:
Social Statistics & Demography
Identifiers
Local EPrints ID: 363093
URI: http://eprints.soton.ac.uk/id/eprint/363093
ISSN: 0033-5177
PURE UUID: 3fb9d37c-f4dd-4366-9e83-05d5d775121b
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Date deposited: 20 Mar 2014 11:56
Last modified: 15 Mar 2024 02:47
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Author:
Riccardo Borgoni
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