A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications

A spatiotemporal recommendation engine for malaria control

(2021) Qian Guan et al.   BIOSTATISTICS

Selecting a scale for spatial confounding adjustment

(2020) Joshua P. Keller et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Restricted Spatial Regression Methods: Implications for Inference

(2020) Kori Khan et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths

(2020) Patrick M. Schnell et al.   Annals of Applied Statistics

Bipartite Causal Inference with Interference

(2020) Corwin M. Zigler et al.   STATISTICAL SCIENCE

Causal Modeling in Environmental Health

(2019) Marie-Abèle Bind   Annual Review of Public Health

Causal Inference With Interfering Units for Cluster and Population Level Treatment Allocation Programs

(2019) Georgia Papadogeorgou et al.   BIOMETRICS

Causal inference with confounders missing not at random

(2019) S Yang et al.   BIOMETRIKA

Confronting models with data: the challenges of estimating disease spillover

(2019) Paul C. Cross et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores

(2018) S Yang et al.   BIOMETRIKA

Adjusting for unmeasured spatial confounding with distance adjusted propensity score matching

(2018) Georgia Papadogeorgou et al.   BIOSTATISTICS

Optimal treatment allocations in space and time for on-line control of an emerging infectious disease

(2018) Eric B. Laber et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Modeling stochastic processes in disease spread across a heterogeneous social system

(2018) Minkyoung Kim et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Estimation and Prediction in the Presence of Spatial Confounding for Spatial Linear Models

(2017) Garritt L. Page et al.   SCANDINAVIAN JOURNAL OF STATISTICS

Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetes

(2017) Melanie L Davis et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Structural Equation Models for Dealing With Spatial Confounding

(2017) Hauke Thaden et al.   AMERICAN STATISTICIAN

The Central Role of Bayes’ Theorem for Joint Estimation of Causal Effects and Propensity Scores

(2016) Corwin Matthew Zigler   AMERICAN STATISTICIAN

A Bayesian view of doubly robust causal inference: Table 1.

(2016) O. Saarela et al.   BIOMETRIKA

On inverse probability-weighted estimators in the presence of interference

(2016) L. Liu et al.   BIOMETRIKA

Matching on the Estimated Propensity Score

(2016) Alberto Abadie et al.   ECONOMETRICA

On Bayesian estimation of marginal structural models

(2015) Olli Saarela et al.   BIOMETRICS

Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification

(2015) Ephraim M. Hanks et al.   ENVIRONMETRICS

Interference and Sensitivity Analysis

(2015) Tyler J. VanderWeele et al.   STATISTICAL SCIENCE

Assessing effects of cholera vaccination in the presence of interference

(2014) Carolina Perez-Heydrich et al.   BIOMETRICS

Regression Discontinuity Designs in Epidemiology

(2014) Jacob Bor et al.   EPIDEMIOLOGY

Model Feedback in Bayesian Propensity Score Estimation

(2013) Corwin M. Zigler et al.   BIOMETRICS

Estimating causal effects of air quality regulations using principal stratification for spatially correlated multivariate intermediate outcomes

(2012) Corwin M. Zigler et al.   BIOSTATISTICS

Dimension reduction and alleviation of confounding for spatial generalized linear mixed models

(2012) John Hughes et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Spatiotemporal quantile regression for detecting distributional changes in environmental processes

(2012) Brian J. Reich   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Bayesian geostatistical modelling with informative sampling locations

(2011) D. Pati et al.   BIOMETRIKA

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

(2011) Finn Lindgren et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love

(2010) James S. Hodges et al.   AMERICAN STATISTICIAN

Cutting Feedback in Bayesian Regression Adjustment for the Propensity Score

(2010) Lawrence C McCandless et al.  

Bayesian Spatial Quantile Regression

(2010) Brian J. Reich et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Geostatistical inference under preferential sampling

(2010) Peter J. Diggle et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

On causal inference in the presence of interference

(2010) Eric J Tchetgen Tchetgen et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators

(2010) Christopher J. Paciorek   STATISTICAL SCIENCE

Matching Methods for Causal Inference: A Review and a Look Forward

(2010) Elizabeth A. Stuart   STATISTICAL SCIENCE

Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

(2009) W. Cao et al.   BIOMETRIKA

Combining MCMC with ‘sequential’ PKPD modelling

(2009) David Lunn et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

Toward Causal Inference With Interference

(2008) Michael G Hudgens et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Regression discontinuity designs: A guide to practice

(2007) Guido W. Imbens et al.   JOURNAL OF ECONOMETRICS