A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications
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Publication:6067151
DOI10.1111/insr.12452arXiv2007.02714OpenAlexW3171908787WikidataQ130525496 ScholiaQ130525496MaRDI QIDQ6067151
Yawen Guan, Brian J. Reich, Ana G. Rappold, Unnamed Author, Unnamed Author, Shu Yang
Publication date: 14 December 2023
Published in: International Statistical Review (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.02714
Applications of statistics (62Pxx) Inference from stochastic processes (62Mxx) Multivariate analysis (62Hxx)
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Cites Work
- Unnamed Item
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Interference and sensitivity analysis
- Regression discontinuity designs: a guide to practice
- Matching methods for causal inference: a review and a look forward
- The importance of scale for spatial-confounding bias and precision of spatial regression estimators
- Bayesian inference for causal effects: The role of randomization
- A close look at the spatial structure implied by the CAR and SAR models.
- Difference-in-differences techniques for spatial data: local autocorrelation and spatial interaction
- Estimating average causal effects under general interference, with application to a social network experiment
- Bipartite causal inference with interference
- Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths
- Alleviating spatial confounding for areal data problems by displacing the geographical centroids
- Spatial quantile multiple regression using the asymmetric Laplace process
- Spatial Bayesian Nonparametric Methods
- Assessing effects of cholera vaccination in the presence of interference
- Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
- Bayesian geostatistical modelling with informative sampling locations
- Estimating causal effects of air quality regulations using principal stratification for spatially correlated multivariate intermediate outcomes
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data
- What Do Randomized Studies of Housing Mobility Demonstrate?
- On Bayesian estimation of marginal structural models
- Handbook of Spatial Statistics
- Toward Causal Inference With Interference
- The central role of the propensity score in observational studies for causal effects
- Statistics and Causal Inference
- Addressing complications of intention-to-treat analysis in the combined presence of all-or-none treatment-noncompliance and subsequent missing outcomes
- Identification and Estimation of Local Average Treatment Effects
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Adjusting for Differential Rates of Prophylaxis Therapy for PCP in High-Versus Low-Dose AZT Treatment Arms in an AIDS Randomized Trial
- Combining Incompatible Spatial Data
- Spatial Modeling With Spatially Varying Coefficient Processes
- Matching on the Estimated Propensity Score
- Orthogonal Gaussian process models
- Model Feedback in Bayesian Propensity Score Estimation
- Auto-G-Computation of Causal Effects on a Network
- Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models
- Estimation of Spatial Variation in Risk Using Matched Case‐control Data
- Causal inference with confounders missing not at random
- Causal inference with interfering units for cluster and population level treatment allocation programs
- Bayesian Spatial Quantile Regression
- Investigating Causal Relations by Econometric Models and Cross-spectral Methods
- Effects of Residual Smoothing on the Posterior of the Fixed Effects in Disease‐Mapping Models
- Estimation and Prediction in the Presence of Spatial Confounding for Spatial Linear Models
- A Bayesian view of doubly robust causal inference: Table 1.
- On inverse probability-weighted estimators in the presence of interference
- Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores
- Structural Equation Models for Dealing With Spatial Confounding
- The Central Role of Bayes’ Theorem for Joint Estimation of Causal Effects and Propensity Scores
- Spatial+: A novel approach to spatial confounding
- Generalized Propensity Score Approach to Causal Inference with Spatial Interference
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