The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Direct and Indirect Effects
Open accessAbstract
The direct effect of one eventon another can be defined and measured byholding constant all intermediate variables between the two.Indirect effects present conceptual andpractical difficulties (in nonlinear models), because they cannot be isolated by holding certain variablesconstant. This paper shows a way of defining any path-specific effectthat does not invoke blocking the remainingpaths.This permits the assessment of a more naturaltype of direct and indirect effects, one thatis applicable in both linear and nonlinear models. The paper establishesconditions under which such assessments can be estimated consistentlyfrom experimental and nonexperimental data,and thus extends path-analytic techniques tononlinear and nonparametric models.
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Cites
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
Research works printed but not linked: 7
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Cited by
A general approach to causal mediation analysis.
Imai, K., Keele, L., & Tingley, D. (2010) · Psychological Methods · doi:10.1037/a0020761 · Cited by 4,143
Ainsworth, E. A., & Long, S. P. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2004.01224.x · Cited by 3,624
Holick, M. F. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.6.1678s · Cited by 2,762
Causal inference in statistics: An overview
Pearl, J. (2009) · Statistics Surveys · doi:10.1214/09-ss057 · Cited by 2,336
“Formally, this reads (Pearl, 2001): IEx,x′(Y ) ∆ = E((Yx,Z x′ ) −E(Yx)), (49) which is almost identical to the direct effect (Eq.”
BackgroundInfluentialSelf-citationRosenzweig, C., Elliott, J., Deryng, D., Ruane, A. C., Müller, C., Arneth, A., Boote, K. J., Folberth, C., Glotter, M., Khabarov, N., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1222463110 · Cited by 2,319
Metadata
- Authors
- Pearl, J.
- Venue
- Probabilistic and Causal Inference
- Publisher
- ACM
- Published
- 2022-02-28
- Pages
- 373-392
- OpenAlex
- W1501375624
- Cited by
- 1,033
- References
- 1
- FWCI
- 185.55
- Type
- book chapter
- Language
- en
- Open access
- green
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