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Identifying Direct and Indirect effects

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Identifying direct and indirect effects is a common problem in the social science and medical literature, and can be described as follows. A treatment is administered and a response is recorded. However there is a variable that somehow mediates the effect of the treatment on the response, channelling a part of the treatment effect. In this talk I show that how to formulate this problem and disentangle the direct and indirect effects using the decision theoretic framework for causal inference.

This talk is part of the Statistics series.

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