This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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392
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract - #307243 |
Title:
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Ratio of Mediator Probability Weighting for Estimating Natural Direct and Indirect Effects
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Author(s):
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Guanglei Hong*+
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Companies:
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The University of Chicago
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Address:
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1200 East Madison Park, #2, Chicago, IL, 60615,
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Keywords:
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Causal inference ;
Counterfactual outcomes ;
Identification ;
Mediation ;
Non-parametric method ;
Treatment-mediator interaction
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Abstract:
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Decomposing the total effect into natural direct and indirect effects is central to revealing causal mechanisms. The standard method of path analysis does not apply when the direct effect depends on the mediator value. Alternative methods typically involve specifying an outcome model as a function of the treatment, the mediator, and the observed covariates and require a linear association between the outcome and the mediator. I propose a non-parametric approach that estimates the marginal mean of each counterfactual outcome through weighting. The weighted distribution of the mediator under the experimental condition approximates their counterfactual mediator distribution under the control condition. The method applies regardless of the distribution of the outcome or the functional relationship between the outcome and the mediator, and is suitable for handling many covariates.
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Authors who are presenting talks have a * after their name.
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