Rejoinder to the discussion on ‘Causal inference with misspecified network interference structure’

We thank the discussants for their insightful comments and suggestions. In this rejoinder, we underscore the role of the network specification under interference regardless of the chosen probabilistic regime, revisit the conceptual design-based coupled with exposure mapping framework we pursue in our paper, comment on the welcome extensions and modifications proposed by the discussants, and discuss the promise and perils of multiple networks.

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Publication Details

Journal
Biometrics
Published
2026-01-06
DOI
https://doi.org/10.1093/biomtc/ujag028
Primary Topic
Bayesian Modeling and Causal Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Rejoinder to the discussion on ‘Causal inference with misspecified network interference structure’

Daniel Nevo, Bar Weinstein
Biometrics
Bayesian Modeling and Causal Inference
article

Rejoinder to the discussion on ‘Causal inference with misspecified network interference structure’

Daniel Nevo, Bar Weinstein
article en

Abstract

We thank the discussants for their insightful comments and suggestions. In this rejoinder, we underscore the role of the network specification under interference regardless of the chosen probabilistic regime, revisit the conceptual design-based coupled with exposure mapping framework we pursue in our paper, comment on the welcome extensions and modifications proposed by the discussants, and discuss the promise and perils of multiple networks.

BiometricsVol. 82(1)
Tel Aviv University (IL)
Reduced inequalities
Openalex Percentile: Top 45%
Bayesian Modeling and Causal Inference
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