Thomas Lumley • 7/15/2013

Graphs and counterfactuals

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The article compares two primary methods for causal reasoning in statistics: causal graphs (using variables and directional arrows) and counterfactuals (using potential outcomes). It discusses a new working paper by Thomas Richardson and James Robins that demonstrates the technical and conceptual equivalence of these approaches, simplifying the previously complex relationship between them.

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#statistics #Causal Inference #Causal Graphs
Graphs and counterfactuals

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