Med4way: a Stata command to investigate mediating and interactive mechanisms using the four-way effect decomposition
The overall effect of an exposure on an outcome, in the presence of a mediator with which
the exposure may interact, can be decomposed into four components that correspond to the …
the exposure may interact, can be decomposed into four components that correspond to the …
Causal effects in mediation modeling: An introduction with applications to latent variables
B Muthén, T Asparouhov - Structural equation modeling: a …, 2015 - Taylor & Francis
Causal inference in mediation analysis offers counterfactually based causal definitions of
direct and indirect effects, drawing on research by Robins, Greenland, Pearl, VanderWeele …
direct and indirect effects, drawing on research by Robins, Greenland, Pearl, VanderWeele …
Questions of value, questions of magnitude: An exploration and application of methods for comparing indirect effects in multiple mediator models
Mediation analysis is widely used to test and inform theory and debate about the mechanism
(s) by which causal effects operate, quantitatively operationalized as an indirect effect in a …
(s) by which causal effects operate, quantitatively operationalized as an indirect effect in a …
Causal mediation analysis in presence of multiple mediators uncausally related
Mediation analysis aims at disentangling the effects of a treatment on an outcome through
alternative causal mechanisms and has become a popular practice in biomedical and social …
alternative causal mechanisms and has become a popular practice in biomedical and social …
The causal mediation formula—a guide to the assessment of pathways and mechanisms
J Pearl - Prevention science, 2012 - Springer
Recent advances in causal inference have given rise to a general and easy-to-use formula
for assessing the extent to which the effect of one variable on another is mediated by a third …
for assessing the extent to which the effect of one variable on another is mediated by a third …
Mediation analysis methods used in observational research: a scoping review and recommendations
Background Mediation analysis methodology underwent many advancements throughout
the years, with the most recent and important advancement being the development of causal …
the years, with the most recent and important advancement being the development of causal …
A general approach to causal mediation analysis.
Traditionally in the social sciences, causal mediation analysis has been formulated,
understood, and implemented within the framework of linear structural equation models. We …
understood, and implemented within the framework of linear structural equation models. We …
Mediation analysis when a continuous mediator is measured with error and the outcome follows a generalized linear model
Mediation analysis is a popular approach to examine the extent to which the effect of an
exposure on an outcome is through an intermediate variable (mediator) and the extent to …
exposure on an outcome is through an intermediate variable (mediator) and the extent to …
Causal mediation analysis of survival outcome with multiple mediators
Background: Mediation analyses have been a popular approach to investigate the effect of
an exposure on an outcome through a mediator. Mediation models with multiple mediators …
an exposure on an outcome through a mediator. Mediation models with multiple mediators …
A review of causal estimation of effects in mediation analyses
TR Ten Have, MM Joffe - Statistical Methods in Medical …, 2012 - journals.sagepub.com
We describe causal mediation methods for analysing the mechanistic factors through which
interventions act on outcomes. A number of different mediation approaches have been …
interventions act on outcomes. A number of different mediation approaches have been …