Direct and Indirect Effects of Sequential Treatments
Abstract
In this paper we review the notion of direct and indirect causal effect as introduced by Pearl (2001). We show how it can be formulated without counterfactuals, using regime indicators instead. This allows to consider the natural (in)direct effect as a special case of sequential treatments discussed by Dawid & Didelez (2005) which immediately yields conditions for identifiability as well as a graphical way of checking identifiability.
Cite
Text
Didelez et al. "Direct and Indirect Effects of Sequential Treatments." Conference on Uncertainty in Artificial Intelligence, 2006.Markdown
[Didelez et al. "Direct and Indirect Effects of Sequential Treatments." Conference on Uncertainty in Artificial Intelligence, 2006.](https://mlanthology.org/uai/2006/didelez2006uai-direct/)BibTeX
@inproceedings{didelez2006uai-direct,
title = {{Direct and Indirect Effects of Sequential Treatments}},
author = {Didelez, Vanessa and Dawid, A. Philip and Geneletti, Sara},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {2006},
url = {https://mlanthology.org/uai/2006/didelez2006uai-direct/}
}