Statistical and simulation-based modelling approaches for causal inference in longitudinal data: Integrating counterfactual thinking into established methods for longitudinal data analysis

Arnold, Kellyn Fair (2020) Statistical and simulation-based modelling approaches for causal inference in longitudinal data: Integrating counterfactual thinking into established methods for longitudinal data analysis. PhD thesis, University of Leeds.

Abstract

Metadata

Supervisors: Gilthorpe, Mark S and Heppenstall, Alison J and Harrison, Wendy J
Keywords: Epidemiology, causal inference, directed acyclic graphs, counterfactual, analysis of change, regression, microsimulation
Awarding institution: University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds)
Identification Number/EthosID: uk.bl.ethos.811241
Depositing User: Kellyn Fair Arnold
Date Deposited: 17 Jul 2020 15:44
Last Modified: 11 Sep 2020 09:53

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