Granger mediation analysis of multiple time series with an application to functional magnetic resonance imaging.

@article{Zhao2019GrangerMA,
  title={Granger mediation analysis of multiple time series with an application to functional magnetic resonance imaging.},
  author={Y. Zhao and X. Luo},
  journal={Biometrics},
  year={2019}
}
  • Y. Zhao, X. Luo
  • Published 2019
  • Mathematics, Medicine
  • Biometrics
  • This paper presents Granger mediation analysis, a new framework for causal mediation analysis of multiple time series. This framework is motivated by a functional magnetic resonance imaging (fMRI) experiment where we are interested in estimating the mediation effects between a randomized stimulus time series and brain activity time series from two brain regions. The independent observation assumption is thus unrealistic for this type of time-series data. To address this challenge, our framework… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 39 REFERENCES
    Multivariate autoregressive modeling of fMRI time series
    • 345
    • Highly Influential
    • PDF
    Functional Causal Mediation Analysis With an Application to Brain Connectivity
    • 41
    • PDF
    Estimating Mediation Effects under Correlated Errors with an Application to fMRI
    • 4
    Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
    • 853
    • Highly Influential
    • PDF
    Time–frequency dynamics of resting-state brain connectivity measured with fMRI
    • 1,178
    • PDF
    The Statistical Analysis of fMRI Data.
    • 566
    • PDF