Causal Mediation Analysis in the Presence of Post-treatment Confounding Variables: A Monte Carlo Simulation Study.
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ABSTRACT:
SUBMITTER: Kisbu-Sakarya Y
PROVIDER: S-EPMC7456832 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Causal Mediation Analysis in the Presence of Post-treatment Confounding Variables: A Monte Carlo Simulation Study.
Kisbu-Sakarya Yasemin Y MacKinnon David P DP Valente Matthew J MJ Çetinkaya Esra E
Frontiers in psychology 20200814
In many disciplines, mediating processes are usually investigated with randomized experiments and linear regression to determine if the treatment affects the outcome through a mediator. However, randomizing the treatment will not yield accurate causal direct and indirect estimates unless certain assumptions are satisfied since the mediator status is not randomized. This study describes methods to estimate causal direct and indirect effects and reports the results of a large Monte Carlo simulatio ...[more]
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