Statistics, Department of
Document Type
Article
Date of this Version
2-9-2024
Citation
Biometrics. 2022 December ; 78(4): 1291–1294. doi:10.1111/biom.13651.
Abstract
Congratulations to the authors for this thoughtful and timely contribution to the spatial confounding literature. The intuitive nature of the method and simplicity of the estimation procedure will surely make Spatial+ popular with practitioners, and the theoretical developments are a major advance for researchers in this area. There is much to discuss! We have formatted our discussion in two sections: in Section 2 we consider the assumptions and statistical properties of Spatial+, and in Section 3 we examine how Spatial+ fits in the wider literature on spatial causal inference.
Comments
HHS Public Access.