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Updated: Feb 28, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
Rejoinder to the discussion on 'Causal inference with misspecified network interference structure'
1Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv 6997801, Israel.
This rejoinder emphasizes network specification under interference, crucial for understanding probabilistic models. It also revisits the design-based exposure mapping framework and discusses future directions for multiple networks.
Area of Science:
- Network analysis
- Statistical modeling
- Interference modeling
Background:
- The study addresses network specification challenges in probabilistic models.
- It highlights the importance of interference in network analysis.
Purpose of the Study:
- To underscore the role of network specification under interference.
- To revisit the conceptual design-based coupled with exposure mapping framework.
- To discuss extensions and implications of multiple networks.
Main Methods:
- Revisiting the design-based coupled with exposure mapping framework.
- Analyzing network specification under various probabilistic regimes.
- Evaluating extensions and modifications proposed by discussants.
Main Results:
- Network specification under interference is critical irrespective of the probabilistic regime.
- The design-based exposure mapping framework provides a robust approach.
- Extensions and modifications offer valuable insights into network analysis.
Conclusions:
- The study reinforces the significance of network specification in the presence of interference.
- It validates the utility of the proposed framework for network analysis.
- Future research should explore the promise and perils of multiple networks.
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