Mediation Analysis: A Practitioner's Guide.
By Tyler J. VanderWeele. Annual Review of Public Health, 2016
1,674 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c7a90c2b5df449424eaf2444f1823d78050846ce
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In Economics and Econometrics
In Statistics and Probability
- E. Sanderson
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- Levi Waldron
- George Davey Smith
- Amy E Taylor
- Ayshwarya Subramanian
- Curtis Huttenhower
- R. Richmond
Citations in the corpus
- Conditional Process Analysis: Concepts, Computation, and Advances in the Modeling of the Contingencies of Mechanisms (2020, neutral): “For a discussion of the assumptions of causal inference in mediation analysis, see Imai, Keele, and Tingley (2010); Preacher (2015); and VanderWeele (2016).”
- Multivariable Mendelian Randomization and Mediation. (2020, methodology): “Traditional mediation analysis uses two different methods to distinguish the direct and indirect effects and estimate the proportion mediated; the difference method and the product-ofcoefficients method (Baron and Kenny 1986; MacKinnon 2012; VanderWeele 2016).”
- Multivariable association discovery in population-scale meta-omics studies (2021, background): “Advanced methods from other molecular epidemiology fields such as causal modeling and mediation analysis methods can help overcome these issues [47].”
- Mendelian randomisation for mediation analysis: current methods and challenges for implementation (2019, methodology): “More recently, a large amount of research has built on and improved mediation methods for better causal inference [4].”