Simple Search

Query:

Enter a query and click »Search«...

Format:

Display: entries per page entries

Zbl 1120.62006
Geneletti, Sara
Identifying direct and indirect effects in a non-counterfactual framework. (English)
[J] J. R. Stat. Soc., Ser. B, Stat. Methodol. 69, No. 2, 199-215 (2007). ISSN 1369-7412; ISSN 1467-9868/e

Summary: Identifying direct and indirect effects is a common problem in the social sciences and medical literature and can be described as follows. A treatment is administered and a response is recorded. However, another variable mediates the effect of the treatment on the response, in some way channelling a part of the treatment effect. The question is how to extricate the direct and channelled (indirect) effects from one another when it is not possible to intervene on the mediating variable. The aim of the paper is to tackle this problem by using a model for direct and indirect effects based on a decision theoretic framework for causal inference.

MSC 2000:: *62C99 Statistical decision theory
62P10 Appl. of statistics to biology
62P25 Appl. of statistics to social sciences

Comment on this Item PDF MathML XML ASCII DVI PS BibTeX Online Ordering Article Journal Journal

	Scientific prize winners of the ICM 2010
	Overhang
	Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

Simple Search

Zentralblatt MATH Berlin [Germany]