Abstract:
: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 mediation in a recent weight management clinical trial.
journal_name
Biometricsjournal_title
Biometricsauthors
Daniels MJ,Roy JA,Kim C,Hogan JW,Perri MGdoi
10.1111/j.1541-0420.2012.01781.xsubject
Has Abstractpub_date
2012-12-01 00:00:00pages
1028-36issue
4eissn
0006-341Xissn
1541-0420journal_volume
68pub_type
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