The use of traditional and causal estimators for mediation models with a binary outcome and exposure-mediator interaction.

ABSTRACT: 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 and indirect effects in the presence of exposure-mediator interaction. However, in practice, traditional mediation analysis is still most widely used. The aim of this paper is to demonstrate the similarities and differences between the causal and traditional estimators for mediation models with a continuous mediator, a binary outcome, and exposure-mediator interaction. A real-life data example, analytical comparisons, and a simulation study were used to demonstrate the similarities and differences between the traditional and causal estimators. The causal and traditional estimators provide similar indirect effect est

SUBMITTER: Rijnhart JJM 

PROVIDER: S-EPMC8259448 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature