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Causal Mediation Analysis with Multiple Time-varying Mediators
Epidemiology, 2022In longitudinal studies with time-varying exposures and mediators, the mediational g-formula is an important method for the assessment of direct and indirect effects. However, current methodologies based on the mediational g-formula can deal with only one mediator. This limitation makes these methodologies inapplicable to many scenarios.
Tai, An-Shun +5 more
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An introduction to causal mediation analysis
Asia Pacific Education ReviewAbstractCausal mediation analysis has gained increasing attention in recent years. This article guides empirical researchers through the concepts and challenges of causal mediation analysis. I first clarify the difference between traditional and causal mediation analysis and highlight the importance of adjusting for the treatment-by-mediator ...
Xu Qin
exaly +2 more sources
American Journal of Evaluation, 2015
In policy evaluations, interest may focus on why a particular treatment works. One tool for understanding why treatments work is causal mediation analysis. In this essay, I focus on the assumptions needed to estimate mediation effects. I show that there is no “gold standard” method for the identification of causal mediation effects.
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In policy evaluations, interest may focus on why a particular treatment works. One tool for understanding why treatments work is causal mediation analysis. In this essay, I focus on the assumptions needed to estimate mediation effects. I show that there is no “gold standard” method for the identification of causal mediation effects.
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Causal moderated mediation analysis: Methods and software
Behavior Research Methods, 2023Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and contextual ...
Xu, Qin, Lijuan, Wang
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Causal Mediation Analysis for Standardized Mortality Ratios
Epidemiology, 2019Indirectly standardized mortality ratios (SMR) are often used to compare patient outcomes between health care providers as indicators of quality of care. Observed differences in the outcomes raise the question of whether these could be causally attributable to earlier processes or outcomes in the pathway of care that the patients received.
Katherine, Daignault +3 more
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Mediation Analysis for Causal Inference
2018https://www.meetup.com/St-Louis-Machine-Learning/events/248490856/?_cookie-check=LzgUTBN ...
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Sample size and power calculations for causal mediation analysis: A Tutorial and Shiny App
Behavior Research Methods, 2023Xu Qin
exaly
Essays on causal mediation analysis
This dissertation consists of three chapters on causal mediation analysis. The first two chapters propose new estimation approaches for direct and indirect effects in a semiparametric model, and the third chapter studies regression discontinuity design that incorporates indirect effects.openaire +1 more source