A new Bayesian variable selection method for mediation analysis exploits correlations among high-dimensional mediators to improve detection of active exposure-mediator-outcome pathways.
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Bayesian Variable Selection for High-Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
A new Bayesian variable selection method for mediation analysis exploits correlations among high-dimensional mediators to improve detection of active exposure-mediator-outcome pathways.