Bayesian inference for the causal effect of mediation.
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ABSTRACT:
SUBMITTER: Daniels MJ
PROVIDER: S-EPMC3927554 | biostudies-literature | 2012 Dec
REPOSITORIES: biostudies-literature
Publications
Bayesian inference for the causal effect of mediation.
Daniels Michael J MJ Roy Jason A JA Kim Chanmin C Hogan Joseph W JW Perri Michael G MG
Biometrics 20120924 4
We propose a nonparametric Bayesian approach to estimate the natural direct and indirect effects through a mediator in the setting of a continuous mediator and a binary response. Several conditional independence assumptions are introduced (with corresponding sensitivity parameters) to make these effects identifiable from the observed data. We suggest strategies for eliciting sensitivity parameters and conduct simulations to assess violations to the assumptions. This approach is used to assess me ...[more]
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