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Activity Number:
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221
- Advanced Statistical Methods for Microbiome Data Analysis
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 31, 2017 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract #323097
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Title:
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Compositional Mediation Model for Microbiome Study
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Author(s):
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Michael Sohn* and Hongzhe Li
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Companies:
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and University of Pennsylvania
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Keywords:
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Compositional Mediation Analysis ;
High Dimensional
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Abstract:
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Motivated by advances in the causal inference on mediation and problems arising in the analysis of the microbiome study, we consider the effect of a treatment on an outcome transmitted through compositional mediators. A sparse mediation model for high-dimensional compositional data is proposed by utilizing the algebraic structure of a composition under the simplex space and a constrained linear regression model to achieve subcompositional coherence. Under this model, we develop estimation methods for the direct and indirect effect of a treatment on an outcome.
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Authors who are presenting talks have a * after their name.
