Causal inference with misspecified exposure mappings: separating definitions and assumptions

11 March 2021

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

11 / 11 papers shown

Title
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network Bar Weinstein Daniel Nevo CML 23 0 0 13 May 2025
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models Michael O'Riordan Ciarán M. Gilligan-Lee CML 41 0 0 24 Mar 2025
Kernel-based estimators for functional causal effects Yordan P. Raykov Hengrui Luo Justin Strait Wasiur R. KhudaBukhsh CML 55 0 0 06 Mar 2025
On the admissibility of Horvitz-Thompson estimator for estimating causal effects under network interference Vishesh Karwa E. Airoldi CML 26 0 0 02 Dec 2023
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 6 1 0 23 Oct 2023
A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing Yuan. Yuan Kristen M. Altenburger 29 4 0 18 Aug 2023
Neighborhood Adaptive Estimators for Causal Inference under Network Interference A. Belloni Fei Fang A. Volfovsky CML 46 6 0 07 Dec 2022
A Design-Based Riesz Representation Framework for Randomized Experiments Christopher Harshaw Fredrik Sävje Yitan Wang CML 27 7 0 17 Oct 2022
The Local Approach to Causal Inference under Network Interference Eric Auerbach Max Tabord-Meehan Max Tabord-Meehan CML 20 22 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 38 34 0 11 Mar 2021
Causal inference for social network data Elizabeth L. Ogburn Oleg Sofrygin Iván Díaz M. J. van der Laan CML 12 109 0 23 May 2017