Traditional epidemiological assessments, which mainly focused on evaluating the statistical association between two major components-the exposure and outcome-have recently evolved to ascertain the in-between process, which can explain the underlying causal pathway. Mediation analysis has emerged as a compelling method to disentangle the complex nature of these pathways. The statistical method of mediation analysis has evolved from simple regression analysis to causal mediation analysis, and each amendment refined the underlying mathematical theory and required assumptions. This short guide will introduce the basic statistical framework and assumptions of both traditional and modern mediation analyses, providing examples conducted with real-...
Understanding mediation is useful for identifying intermediates lying between anexposure and an outc...
Statistical mediation analysis has become the technique of choice in consumer research to make causa...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
BACKGROUND: Causal mediation analysis is often used to understand the impact of variables along the ...
For many years, epidemiologists were mainly focused on the estimation of exposure-outcome effects. N...
Estimating the mechanisms that connect explanatory variables with the explained variable, also known...
Estimating the mechanisms that connect explanatory variables with the explained variable, also known...
Abstract. Estimating the mechanisms that connect explanatory variables with the explained variable, ...
In recent years, mediation analysis has emerged as a powerful tool to disentangle causal pathways fr...
Thesis (Ph.D.)--University of Washington, 2020My doctoral research is oriented around causal inferen...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
Understanding of causal pathways in epidemiology involves the concepts of direct and indirect effect...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
Mediation analysis is an important statistical method in prevention research, as it can be used to d...
Understanding mediation is useful for identifying intermediates lying between anexposure and an outc...
Statistical mediation analysis has become the technique of choice in consumer research to make causa...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
BACKGROUND: Causal mediation analysis is often used to understand the impact of variables along the ...
For many years, epidemiologists were mainly focused on the estimation of exposure-outcome effects. N...
Estimating the mechanisms that connect explanatory variables with the explained variable, also known...
Estimating the mechanisms that connect explanatory variables with the explained variable, also known...
Abstract. Estimating the mechanisms that connect explanatory variables with the explained variable, ...
In recent years, mediation analysis has emerged as a powerful tool to disentangle causal pathways fr...
Thesis (Ph.D.)--University of Washington, 2020My doctoral research is oriented around causal inferen...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
Understanding of causal pathways in epidemiology involves the concepts of direct and indirect effect...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...
Mediation analysis is an important statistical method in prevention research, as it can be used to d...
Understanding mediation is useful for identifying intermediates lying between anexposure and an outc...
Statistical mediation analysis has become the technique of choice in consumer research to make causa...
In this paper, we describe the R package mediation for conducting causal mediation analysis in appli...