Results 11 to 20 of about 178,060 (260)
Sensitivity Analysis in Nonrandomized Longitudinal Mediation Analysis
Frontiers in Psychology, 2021 Mediation analysis relies on an untestable assumption of the no omitted confounders, which posits that an omitted variable that confounds the relationships between the antecedent, mediator, and outcome variables cannot exist.
Davood Tofighi
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Causal Mediation Analysis with Multiple Mediators [PDF]
Biometrics, 2014 Summary In diverse fields of empirical research—including many in the biological sciences—attempts are made to decompose the effect of an exposure on an outcome into its effects via a number of different pathways. For example, we may wish to separate the effect of heavy alcohol consumption on systolic blood pressure (SBP) into effects ...
Daniel, RM +3 more
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Computational and Structural Biotechnology Journal, 2021 Mediation analysis investigates the intermediate mechanism through which an exposure exerts its influence on the outcome of interest. Mediation analysis is becoming increasingly popular in high-throughput genomics studies where a common goal is to ...
Ping Zeng, Zhonghe Shao, Xiang Zhou
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Causal mediation analysis with a latent mediator [PDF]
Biometrical Journal, 2015 Health researchers are often interested in assessing the direct effect of a treatment or exposure on an outcome variable, as well as its indirect (or mediation) effect through an intermediate variable (or mediator). For an outcome following a nonlinear model, the mediation formula may be used to estimate causally interpretable mediation effects.
Albert, Jeffrey M. +2 more
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Priming congruence and COVID-19 vaccination intention: a mediation analysis
Health Psychology Report, 2023 Background This study took place at the height of the fifth wave of COVID-19 in France, coinciding with stigmatizing communication toward the unvaccinated.
Lubomir Lamy +3 more
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Flexible Mediation Analysis With Multiple Mediators [PDF]
American Journal of Epidemiology, 2017 The advent of counterfactual-based mediation analysis has triggered enormous progress on how, and under what assumptions, one may disentangle path-specific effects upon combining arbitrary (possibly nonlinear) models for mediator and outcome. However, current developments have largely focused on single mediators because required identification ...
Johan, Steen +3 more
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Interventional Effects for Mediation Analysis with Multiple Mediators [PDF]
Epidemiology, 2017 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 the need for confounding control. The default assumptions on which it relies are strong, however.
Vansteelandt, Stijn, Daniel, Rhian M
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Frontiers in Genetics, 2023 Background: High dimensional mediation analysis is frequently conducted to explore the role of epigenetic modifiers between exposure and health outcome.
Fangyao Chen +7 more
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European Journal of Public Health, 2023 Abstract Understanding mechanisms between the urban environmental exposome and cognitive functioning outcomes is a key aim of the SPACE project. Structural equation modelling (SEM) offers a framework in which to consider potential mechanisms identified in DAGs (see IAP, Presentation 1) and evaluate their contribution to total effects ...
Ding-Geng Chen, Yiu-Fai Yung
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A computational description of simple mediation analysis [PDF]
Tutorials in Quantitative Methods for Psychology, 2018 Simple mediation analysis is an increasingly popular statistical analysis in psychology and in other social sciences. However, there is very few detailed account of the computations within the model.
Caron, Pier-Olivier, Valois, Philippe
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