University of Cambridge > > Statistics > Identifying Direct and Indirect effects

Identifying Direct and Indirect effects

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact R.B.Gramacy.

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.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity