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Testing for Mediation Effect with Application to Human Microbiome Data

Author

Listed:
  • Haixiang Zhang

    (Tianjin University)

  • Jun Chen

    (Mayo Clinic)

  • Zhigang Li

    (University of Florida)

  • Lei Liu

    (Washington University in St. Louis)

Abstract

Mediation analysis has been commonly used to study the effect of an exposure on an outcome through a mediator. In this paper, we are interested in exploring the mediation mechanism of microbiome, whose special features make the analysis challenging. We consider the isometric logratio transformation of the relative abundance as the mediator variable. Then, we present a de-biased Lasso estimate for the mediator of interest and derive its standard error estimator, which can be used to develop a test procedure for the interested mediation effect. Extensive simulation studies are conducted to assess the performance of our method. We apply the proposed approach to test the mediation effect of human gut microbiome between the dietary fiber intake and body mass index.

Suggested Citation

  • Haixiang Zhang & Jun Chen & Zhigang Li & Lei Liu, 2021. "Testing for Mediation Effect with Application to Human Microbiome Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 313-328, July.
    • Handle: RePEc:spr:stabio:v:13:y:2021:i:2:d:10.1007_s12561-019-09253-3
    DOI: 10.1007/s12561-019-09253-3
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    References listed on IDEAS

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    Cited by:

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