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

https://doi.org/10.1177/0962280217735700

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sim.1903openalex-snapshot

Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study

inferredcites →https://doi.org/10.1002/sim.3460openalex-snapshot

Bayesian propensity score analysis for observational data

inferredcites →https://doi.org/10.1002/sim.5753openalex-snapshot

A tutorial on propensity score estimation for multiple treatments using generalized boosted models

inferredcites →https://doi.org/10.1002/sim.5786openalex-snapshot

Propensity score weighting with multilevel data

inferredcites →https://doi.org/10.1002/sim.6607openalex-snapshot

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

inferredcites →https://doi.org/10.1007/bf00116466openalex-snapshot

Bayesian image restoration, with two applications in spatial statistics

inferredcites →https://doi.org/10.1016/j.annepidem.2012.07.008openalex-snapshot

Toward a better understanding of when to apply propensity scoring: a comparison with conventional regression in ethnic disparities research

inferredcites →https://doi.org/10.1016/j.annepidem.2018.01.008openalex-snapshot

Racial differences in spatial patterns for poor glycemic control in the Southeastern United States

inferredcites →https://doi.org/10.1016/j.cmpb.2004.03.003openalex-snapshot

Modelling of discrete spatial variation in epidemiology with SAS using GLIMMIX

inferredcites →https://doi.org/10.1016/j.csda.2010.11.008openalex-snapshot

The specification of the propensity score in multilevel observational studies

inferredcites →https://doi.org/10.1016/j.ehb.2011.04.001openalex-snapshot

Obesity and diabetes, the built environment, and the ‘local’ food economy in the United States, 2007

inferredcites →https://doi.org/10.1016/j.sste.2015.08.001openalex-snapshot

Comparing INLA and OpenBUGS for hierarchical Poisson modeling in disease mapping

inferredcites →https://doi.org/10.1037/h0037350openalex-snapshot

Estimating causal effects of treatments in randomized and nonrandomized studies.

inferredcites →https://doi.org/10.1080/00273171.2011.568786openalex-snapshot

An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

inferredcites →https://doi.org/10.1080/00949659308811554openalex-snapshot

Generalized linear mixed models a pseudo-likelihood approach

inferredcites →https://doi.org/10.1080/01621459.1952.10483446openalex-snapshot

A Generalization of Sampling Without Replacement From a Finite Universe

inferredcites →https://doi.org/10.1080/01621459.1993.10594284openalex-snapshot

Approximate Inference in Generalized Linear Mixed Models

inferredcites →https://doi.org/10.1080/01621459.1994.10476818openalex-snapshot

Estimation of Regression Coefficients When Some Regressors Are Not Always Observed

inferredcites →https://doi.org/10.1093/biomet/70.1.41openalex-snapshot

The central role of the propensity score in observational studies for causal effects

inferredcites →https://doi.org/10.1093/biostatistics/kxx074openalex-snapshot

Adjusting for unmeasured spatial confounding with distance adjusted propensity score matching

inferredcites →https://doi.org/10.1111/j.1467-9868.2008.00700.xopenalex-snapshot

Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

inferredcites →https://doi.org/10.1111/j.1541-0420.2005.00377.xopenalex-snapshot

Doubly Robust Estimation in Missing Data and Causal Inference Models

inferredcites →https://doi.org/10.1111/rssa.12056openalex-snapshot

Enhancing a Geographic Regression Discontinuity Design Through Matching to Estimate the Effect of Ballot Initiatives on Voter Turnout

inferredcites →https://doi.org/10.1159/000075954openalex-snapshot

The Confounding of Race and Geography: How Much of the Excess Stroke Mortality among African Americans Is Explained by Geography?

inferredcites →https://doi.org/10.1161/01.str.19.12.1507openalex-snapshot

Stroke mortality maps. United States whites aged 35-74 years, 1962-1982.

inferredcites →https://doi.org/10.1177/0160017611400069openalex-snapshot

A Spatial Propensity Score Matching Evaluation of the Social Impacts of Sugarcane Growing on Municipalities in Brazil

inferredcites →https://doi.org/10.1177/193229681100500304openalex-snapshot

The Association between Driving Distance and Glycemic Control in Rural Areas

inferredcites →https://doi.org/10.1198/tast.2010.10052openalex-snapshot

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

inferredcites →https://doi.org/10.1201/b17115openalex-snapshot

Hierarchical Modeling and Analysis for Spatial Data

inferredcites →https://doi.org/10.1214/09-sts313openalex-snapshot

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

inferredcites →https://doi.org/10.1377/hlthaff.27.2.374openalex-snapshot

When Does A Difference Become A Disparity? Conceptualizing Racial And Ethnic Disparities In Health

inferredcites →https://doi.org/10.1377/hlthaff.var.33openalex-snapshot

Who You Are And Where You Live: How Race And Geography Affect The Treatment Of Medicare Beneficiaries

inferredcites →https://doi.org/10.2139/ssrn.3167321openalex-snapshot

Is Microfinance Truly Useless for Poverty Reduction and Women Empowerment? A Bayesian Spatial-Propensity Score Matching Evaluation in Bolivia

inferredcites →https://doi.org/10.2337/dc06-0062openalex-snapshot

Prevalence of Diabetes and Impaired Fasting Glucose in Adults in the U.S. Population

inferredcites →https://doi.org/10.2337/dc09-1746openalex-snapshot

Self-Efficacy, Problem Solving, and Social-Environmental Support Are Associated With Diabetes Self-Management Behaviors

inferredcites →https://doi.org/10.2337/dc10-1504openalex-snapshot

Regional, Geographic, and Racial/Ethnic Variation in Glycemic Control in a National Sample of Veterans With Diabetes

inferredcites →https://doi.org/10.2337/diacare.21.7.1138openalex-snapshot

Mortality in Adults With and Without Diabetes in a National Cohort of the U.S. Population, 1971–1993

inferredcites →https://doi.org/10.2337/diacare.21.8.1230openalex-snapshot

Is the Risk of Diabetic Retinopathy Greater in Non-Hispanic Blacks and Mexican Americans Than in Non-Hispanic Whites With Type 2 Diabetes?: A U.S. population study

inferredcites →https://doi.org/10.2337/diacare.29.03.06.dc05-1254openalex-snapshot

Achievement of American Diabetes Association Clinical Practice Recommendations Among U.S. Adults With Diabetes, 1999–2002

inferredcites →https://doi.org/10.5860/choice.42-2265openalex-snapshot

Applied longitudinal analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4751335openalex-extracted

inferred← citeshttps://doi.org/10.1002/env.2727openalex-snapshot

Mitigating spatial confounding by explicitly correlating Gaussian random fields

inferred← citeshttps://doi.org/10.1002/env.70097openalex-snapshot

Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score

inferred← citeshttps://doi.org/10.1016/j.cstp.2024.101203openalex-snapshot

Evaluating public sentiment towards transport policies: A causal analysis of the motorbike ban in Hanoi

inferred← citeshttps://doi.org/10.1016/j.forpol.2018.06.003openalex-snapshot

Do trees make people more rooted? Private forest owners' migration behaviour

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Exposure to industrial hog operations and gastrointestinal illness in North Carolina, USA

inferred← citeshttps://doi.org/10.1093/aje/kwab059openalex-snapshot

A Geography of Risk: Structural Racism and Coronavirus Disease 2019 Mortality in the United States

inferred← citeshttps://doi.org/10.1093/biomtc/ujae100openalex-snapshot

Causal inference using multivariate generalized linear mixed-effects models

inferred← citeshttps://doi.org/10.1093/biomtc/ujaf173openalex-snapshot

Estimating the causal effect of redlining on present-day air pollution

inferred← citeshttps://doi.org/10.1093/biostatistics/kxac028openalex-snapshot

Alleviating spatial confounding in frailty models

inferred← citeshttps://doi.org/10.1093/jrsssc/qlad034openalex-snapshot

The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach

inferred← citeshttps://doi.org/10.1111/biom.13651openalex-snapshot

Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin

inferred← citeshttps://doi.org/10.1111/gean.70010openalex-snapshot

Causal Inference With Spatial Econometric Models: Challenges and Applications for Epidemiologic Research

inferred← citeshttps://doi.org/10.1111/insr.12452openalex-snapshot

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

inferred← citeshttps://doi.org/10.1111/joes.12692openalex-snapshot

Identification of Spatial Spillovers: Do's and Don'ts

inferred← citeshttps://doi.org/10.1111/rssa.12556openalex-snapshot

Selecting a Scale for Spatial Confounding Adjustment

inferred← citeshttps://doi.org/10.1186/s12942-021-00265-1openalex-snapshot

Propensity score matching for multilevel spatial data: accounting for geographic confounding in health disparity studies

inferred← citeshttps://doi.org/10.1214/22-ba1322openalex-snapshot

Causal Inference Under Mis-Specification: Adjustment Based on the Propensity Score (with Discussion)

inferred← citeshttps://doi.org/10.48550/arxiv.2103.00304openalex-snapshot

Instrumental variables, spatial confounding and interference

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