10 citations · 13 across the 3 of their papers we have counts for
3 papers
Consistency of common spatial estimators under spatial confounding
Brian Gilbert, Elizabeth L. Ogburn, Abhirup Datta
This paper addresses the asymptotic performance of popular spatial regression estimators of the linear effect of an exposure on an outcome under ``spatial confounding" -- the prese…
Learning sources of variability from high-dimensional observational studies
Eric W. Bridgeford, Jaewon Chung, Brian Gilbert +6
Causal inference studies whether the presence of a variable influences an observed outcome. As measured by quantities such as the "average treatment effect," this paradigm is emplo…
A causal inference framework for spatial confounding
Brian Gilbert, Abhirup Datta, Joan A. Casey +1
Over the past few decades, addressing "spatial confounding" has become a major topic in spatial statistics. However, the literature has provided conflicting definitions, and many p…