4.6 Article

Challenges in Systematic Reviews and Meta-Analyses of Mediation Analyses

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Summary: The incorporation of causal inference in mediation analysis has brought significant theoretical and methodological advancements, providing causal interpretation for effect definitions, clarifying necessary assumptions for effect identification, and expanding options for effect estimation. This article aims to simplify the understanding and adoption of causal mediation analysis by emphasizing the need for explicit causal thinking and the differences between causal inference and traditional approaches. It explains various effect types and proposes a general class of interventional effects that better match many research questions than standard approaches.

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