Hypothesis test of mediation effect in causal mediation model with high‐dimensional continuous mediators
Causal mediation modeling has become a popular approach for studying the effect of an
exposure on an outcome through a mediator. However, current methods are not applicable …
exposure on an outcome through a mediator. However, current methods are not applicable …
Estimation of causal mediation effects for a dichotomous outcome in multiple‐mediator models using the mediation formula
Mediators are intermediate variables in the causal pathway between an exposure and an
outcome. Mediation analysis investigates the extent to which exposure effects occur through …
outcome. Mediation analysis investigates the extent to which exposure effects occur through …
The use of traditional and causal estimators for mediation models with a binary outcome and exposure-mediator interaction
An important recent development in mediation analysis is the use of causal mediation
analysis. Causal mediation analysis decomposes the total exposure effect into causal direct …
analysis. Causal mediation analysis decomposes the total exposure effect into causal direct …
Causal mediation analysis for longitudinal data with exogenous exposure
Mediation analysis is a valuable approach to examine pathways in epidemiological
research. Prospective cohort studies are often conducted to study biological mechanisms …
research. Prospective cohort studies are often conducted to study biological mechanisms …
[HTML][HTML] Mediation analysis with multiple mediators
T VanderWeele, S Vansteelandt - Epidemiologic methods, 2014 - degruyter.com
Recent advances in the causal inference literature on mediation have extended traditional
approaches to direct and indirect effects to settings that allow for interactions and non …
approaches to direct and indirect effects to settings that allow for interactions and non …
[HTML][HTML] Statistical mediation analysis for models with a binary mediator and a binary outcome: The differences between causal and traditional mediation analysis
Mediation analysis is an important statistical method in prevention research, as it can be
used to determine effective intervention components. Traditional mediation analysis defines …
used to determine effective intervention components. Traditional mediation analysis defines …
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 …
Interventional effects for mediation analysis with multiple mediators
S Vansteelandt, RM Daniel - Epidemiology, 2017 - journals.lww.com
The mediation formula for the identification of natural (in) direct effects has facilitated
mediation analyses that better respect the nature of the data, with greater consideration of …
mediation analyses that better respect the nature of the data, with greater consideration of …
mma: an R package for mediation analysis with multiple mediators
Mediation refers to the effect transmitted by mediators that intervene in the relationship
between an exposure and a response variable. Mediation analysis has been broadly …
between an exposure and a response variable. Mediation analysis has been broadly …
Generalized causal mediation and path analysis: Extensions and practical considerations
JM Albert, JI Cho, Y Liu… - Statistical Methods in …, 2019 - journals.sagepub.com
Causal mediation analysis seeks to decompose the effect of a treatment or exposure among
multiple possible paths and provide casually interpretable path-specific effect estimates …
multiple possible paths and provide casually interpretable path-specific effect estimates …