Causal inference with misspecified exposure mappings: separating
definitions and assumptions

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Causal inference with misspecified exposure mappings: separating definitions and assumptions

11 March 2021

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Papers citing "Causal inference with misspecified exposure mappings: separating definitions and assumptions"

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Title
Kernel-based estimators for functional causal effects Yordan P. Raykov Hengrui Luo Justin Strait Wasiur R. KhudaBukhsh CML 251 0 0 06 Mar 2025
Safe and Interpretable Estimation of Optimal Treatment Regimes Harsh Parikh Quinn Lanners Zade Akras Sahar F. Zafar M. P. M. Brandon Westover Cynthia Rudin A. Volfovsky OffRL 36 1 0 23 Oct 2023
A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing Yuan. Yuan Kristen M. Altenburger 74 5 0 18 Aug 2023
Neighborhood Adaptive Estimators for Causal Inference under Network Interference A. Belloni Fei Fang A. Volfovsky CML 171 7 0 07 Dec 2022
The Local Approach to Causal Inference under Network Interference Eric Auerbach Max Tabord-Meehan Max Tabord-Meehan CML 90 21 0 09 May 2021
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model Christopher Harshaw Fredrik Sävje David Eisenstat Vahab Mirrokni Jean Pouget-Abadie 104 34 0 11 Mar 2021
Causal inference for social network data Elizabeth L. Ogburn Oleg Sofrygin Iván Díaz M. J. van der Laan CML 55 110 0 23 May 2017