Disentangling spatial interference and spatial confounding biases in causal inference
Fuente:
arXiv
Saved in:
| Main Authors: | Ogunsola, Isqeel, Johnson, Olatunji |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A causal inference framework for spatial confounding
by: Gilbert, Brian, et al.
Published: (2021)
by: Gilbert, Brian, et al.
Published: (2021)
A Novel Three-Parameter Extended Weibull Distribution for Health Data Modelling
by: Ogunsola, Isqeel, et al.
Published: (2026)
by: Ogunsola, Isqeel, et al.
Published: (2026)
Spatial causal inference in the presence of unmeasured confounding and interference
by: Papadogeorgou, Georgia, et al.
Published: (2023)
by: Papadogeorgou, Georgia, et al.
Published: (2023)
Transmuted logistic-exponential distribution - some new properties, estimation methods and application with infectious disease mortality data
by: Ogunsola, Isqeel, et al.
Published: (2026)
by: Ogunsola, Isqeel, et al.
Published: (2026)
Consistency of common spatial estimators under spatial confounding
by: Gilbert, Brian, et al.
Published: (2023)
by: Gilbert, Brian, et al.
Published: (2023)
A simplified spatial+ approach to mitigate spatial confounding in multivariate spatial areal models
by: Urdangarin, A., et al.
Published: (2023)
by: Urdangarin, A., et al.
Published: (2023)
Bidirectional causal inference for binary outcomes in the presence of unmeasured confounding
by: Deng, Yafang, et al.
Published: (2026)
by: Deng, Yafang, et al.
Published: (2026)
A confounding bridge approach for double negative control inference on causal effects
by: Miao, Wang, et al.
Published: (2018)
by: Miao, Wang, et al.
Published: (2018)
Flexible sensitivity analysis for causal inference in observational studies subject to unmeasured confounding
by: Lu, Sizhu, et al.
Published: (2023)
by: Lu, Sizhu, et al.
Published: (2023)
Linear models for causal inference under network interference
by: Tong, Eric, et al.
Published: (2026)
by: Tong, Eric, et al.
Published: (2026)
A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
by: Min, Jiaqi, et al.
Published: (2025)
by: Min, Jiaqi, et al.
Published: (2025)
Recovery and inference of causal effects with sequential adjustment for confounding and attrition
by: de Aguas, Johan, et al.
Published: (2024)
by: de Aguas, Johan, et al.
Published: (2024)
Fast and flexible inference for spatial extremes
by: Zhong, Peng, et al.
Published: (2024)
by: Zhong, Peng, et al.
Published: (2024)
Valid causal inference with unobserved confounding in high-dimensional settings
by: Moosavi, Niloofar, et al.
Published: (2024)
by: Moosavi, Niloofar, et al.
Published: (2024)
Bipartite causal inference with interference, time series data, and a random network
by: Song, Zhaoyan, et al.
Published: (2024)
by: Song, Zhaoyan, et al.
Published: (2024)
Dynamical causality under invisible confounders
by: Yan, Jinling, et al.
Published: (2024)
by: Yan, Jinling, et al.
Published: (2024)
Nonparametric inference for nonstationary spatial point processes
by: Nolau, Izabel, et al.
Published: (2025)
by: Nolau, Izabel, et al.
Published: (2025)
Towards a unified approach to formal risk of bias assessments for causal and descriptive inference
by: Pescott, Oliver L., et al.
Published: (2023)
by: Pescott, Oliver L., et al.
Published: (2023)
A roadmap for systematic identification and analysis of multiple biases in causal inference
by: Wijesuriya, Rushani, et al.
Published: (2025)
by: Wijesuriya, Rushani, et al.
Published: (2025)
Controlling for discrete unmeasured confounding in nonlinear causal models
by: Burauel, Patrick, et al.
Published: (2024)
by: Burauel, Patrick, et al.
Published: (2024)
Estimating causal effects of continuous-time dynamic treatments with unmeasured confounders
by: Zhu, Haiyan, et al.
Published: (2026)
by: Zhu, Haiyan, et al.
Published: (2026)
A general condition for bias attenuation by a nondifferentially mismeasured confounder
by: Zhang, Jeffrey, et al.
Published: (2024)
by: Zhang, Jeffrey, et al.
Published: (2024)
Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)
by: Cheng, Chao, et al.
Published: (2026)
A spatial interference approach to account for mobility in air pollution studies with multivariate continuous treatments
by: Shin, Heejun, et al.
Published: (2023)
by: Shin, Heejun, et al.
Published: (2023)
Simultaneous inference for generalized linear models with unmeasured confounders
by: Du, Jin-Hong, et al.
Published: (2023)
by: Du, Jin-Hong, et al.
Published: (2023)
Exploiting independence constraints for efficient estimation of bounds on causal effects in the presence of unmeasured confounding
by: Chang, Ting-Hsuan, et al.
Published: (2026)
by: Chang, Ting-Hsuan, et al.
Published: (2026)
Fast and robust cross-validation-based scoring rule inference for spatial statistics
by: Olafsdottir, Helga Kristin, et al.
Published: (2024)
by: Olafsdottir, Helga Kristin, et al.
Published: (2024)
crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)
by: Liu, Richard, et al.
Published: (2026)
Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)
by: Eichhorn, Matthew, et al.
Published: (2024)
On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)
by: Alexopoulos, Angelos, et al.
Published: (2025)
Causal inference with misspecified network interference structure
by: Weinstein, Bar, et al.
Published: (2023)
by: Weinstein, Bar, et al.
Published: (2023)
Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys
by: Du, Jiacong, et al.
Published: (2024)
by: Du, Jiacong, et al.
Published: (2024)
Parameter identification in linear non-Gaussian causal models under general confounding
by: Tramontano, Daniele, et al.
Published: (2024)
by: Tramontano, Daniele, et al.
Published: (2024)
Post-selection inference for causal effects after causal discovery
by: Chang, Ting-Hsuan, et al.
Published: (2024)
by: Chang, Ting-Hsuan, et al.
Published: (2024)
Identification and estimation of causal mechanisms in cluster-randomized trials with post-treatment confounding using Bayesian nonparametrics
by: Ohnishi, Yuki, et al.
Published: (2025)
by: Ohnishi, Yuki, et al.
Published: (2025)
The causal effects of modified treatment policies under network interference
by: Balkus, Salvador V., et al.
Published: (2024)
by: Balkus, Salvador V., et al.
Published: (2024)
Design-based theory for causal inference
by: Lu, Xin, et al.
Published: (2025)
by: Lu, Xin, et al.
Published: (2025)
Approximate Bayesian inference for high-resolution spatial disaggregation using alternative data sources
by: Pakrashi, Anis, et al.
Published: (2024)
by: Pakrashi, Anis, et al.
Published: (2024)
Fast Bayesian inference for spatial mean-parameterized Conway-Maxwell-Poisson models
by: Kang, Bokgyeong, et al.
Published: (2023)
by: Kang, Bokgyeong, et al.
Published: (2023)
Accounting for Multiple Covariates in Non-Stationary Geostatistical Modelling
by: Johnson, Olatunji, et al.
Published: (2024)
by: Johnson, Olatunji, et al.
Published: (2024)
Similar Items
-
A causal inference framework for spatial confounding
by: Gilbert, Brian, et al.
Published: (2021) -
A Novel Three-Parameter Extended Weibull Distribution for Health Data Modelling
by: Ogunsola, Isqeel, et al.
Published: (2026) -
Spatial causal inference in the presence of unmeasured confounding and interference
by: Papadogeorgou, Georgia, et al.
Published: (2023) -
Transmuted logistic-exponential distribution - some new properties, estimation methods and application with infectious disease mortality data
by: Ogunsola, Isqeel, et al.
Published: (2026) -
Consistency of common spatial estimators under spatial confounding
by: Gilbert, Brian, et al.
Published: (2023)