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What is Causal Inference in Social Networks about?

The article presents a framework for causal inference in social network data, focusing on semiparametric estimation and inference for causal effects from observational data. It addresses the complexities of dependence among observations in social networks and proposes new causal estimands relevant to interventions on network ties and structure. The authors reanalyze the Framingham Heart Study data, concluding that there is no evidence for causal peer effects of obesity after accounting for network structure

Author
nhixu321
Language
EN

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