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- W4248526256 abstract "Mediation analysis plays a central role in the investigation of causal mechanisms, where the total, direct and indirect influence of one variable on another is typically assessed using path-tracing rule}. Two recent developments promise to revolutionize mediation analysis: first, the interventionist causal inference framework has allowed researchers to define and investigate mediation in terms of interventions on variables rather than path-tracing rules; second, researchers have begun to use Continuous-Time (CT) models to investigate mediation in longitudinal data. This paper shows how CT mediation can be treated using an interventionist approach. The links between interventionist and path-tracing definitions in traditional longitudinal SEM models and in CT models are explored in detail. The treatment of mediation from diverse strands of literature is unified, by showing how total, direct and indirect effects in different frameworks can be defined as qualitatively different types of interventions on the values of variables." @default.
- W4248526256 created "2022-05-12" @default.
- W4248526256 creator A5038403882 @default.
- W4248526256 date "2018-05-08" @default.
- W4248526256 modified "2023-09-29" @default.
- W4248526256 title "Interventions in dynamic systems: A causal approach to continuous-time mediation analysis" @default.
- W4248526256 doi "https://doi.org/10.31234/osf.io/n2fwt" @default.
- W4248526256 hasPublicationYear "2018" @default.
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