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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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Advances in Developing Human Resources, 2014
The Problem In HRD research, while mediation research is receiving more attention, less is known about to what extent it has been used and what methodological approaches have been adopted by HRD researchers. Also, several critical methodological issues such as the common method variance (CMV) are often indicated by researchers who utilize mediational ...
Ji Hoon Song, Doo Hun Lim
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The Problem In HRD research, while mediation research is receiving more attention, less is known about to what extent it has been used and what methodological approaches have been adopted by HRD researchers. Also, several critical methodological issues such as the common method variance (CMV) are often indicated by researchers who utilize mediational ...
Ji Hoon Song, Doo Hun Lim
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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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International Journal of Fuzzy Systems, 2019
A mediator variable is a variable that causes mediation in the dependent and the independent variables. The mediator variables play important roles in data analysis which involve several variables, especially when the dependent and independent variables are affected by other variables.
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A mediator variable is a variable that causes mediation in the dependent and the independent variables. The mediator variables play important roles in data analysis which involve several variables, especially when the dependent and independent variables are affected by other variables.
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This two-day seminar provides a comprehensive exploration of causal mediation analysis, emphasizing strong theoretical foundations and practical applications for researchers in diverse fields. Participants will gain crucial skills in implementing these advanced methodologies using R and Stata, enhancing the credibility and impact of their research ...
Paola Zaninotto, Martin Danka
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Paola Zaninotto, Martin Danka
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This chapter provides a thorough examination of mediation analysis results within two key contexts: Government Services and Policy Consultation. It begins with an exploration of the complex mediation effects in the delivery and evaluation processes of government services, showing how various intermediary variables affect service effectiveness.
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