ArticleBiometrics2023
Generalized propensity score approach to causal inference with spatial interference.
Article in Biometrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Impacts of Social Environments on Neighborhood Depression Incidence: Fully Accounting for Spatial Effects.International journal of environmental research and public health · 2026Article
- Bipartite interference and air pollution transport: estimating health effects of power plant interventions.Biostatistics (Oxford, England) · 2025Article
- Causal Association of Prenatal Ozone Exposure with Impaired Lung Function in Childhood.Environment & health (Washington, D.C.) · 2025Article
- Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review.Current environmental health reports · 2025Review
- Reconsidering indoor residual spraying coverage targets: A retrospective analysis of high-resolution programmatic malaria control data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Sample Size Requirements to Test Subgroup-Specific Treatment Effects in Cluster-Randomized Trials.Prevention science : the official journal of the Society for Prevention Research · 2024Article
- Generalized propensity score approach to causal inference with spatial interference.Biometrics · 2023Article
- Discussion on "Spatial+: A novel approach to spatial confounding" by Dupont, Wood, and Augustin.Biometrics · 2022Article
- Estimating intervention effects on infectious disease control: The effect of community mobility reduction on Coronavirus spread.Spatial statistics · 2022Article
- A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications.International statistical review = Revue internationale de statistique · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Many spatial phenomena exhibit interference, where exposures at one location may affect the response at other locations. Because interference violates the stable unit treatment value assumption, standard methods for causal inference do not apply. We propose a new causal framework to recover direct and spill-over effects in the presence of spatial interference, taking into account that exposures at nearby locations are more influential than exposures at locations further apart. Under the no unmeasured confounding assumption, we show that a generalized propensity score is sufficient to remove all measured confounding. To reduce dimensionality issues, we propose a Bayesian spline-based regression model accounting for a sufficient set of variables for the generalized propensity score. A simulation study demonstrates the accuracy and coverage properties. We apply the method to estimate the causal effect of wildland fires on air pollution in the Western United States over 2005-2018.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.