Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2022 Dec;78(4):1291-1294.
doi: 10.1111/biom.13651. Epub 2022 Mar 30.

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

Brian J Reich  1 , Shu Yang  1 , Yawen Guan  2
Affiliations
Comment

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

Brian J Reich et al. Biometrics. 2022 Dec.
No abstract available

PubMed Disclaimer

Figures

FIGURE 1
FIGURE 1
Bias and coverage of Spatial+ (the dashed lines 95% intervals) as a function of σx for the simulation study. This figure appears in color in the electronic version of this article, and any mention of color refers to that version
FIGURE 2
FIGURE 2
Unmeasured spatial confounder simulated from a Gaussian process (top left), from the fitted thin plate spline (top middle), and their difference (top right). Bias and coverage of Spatial+ (the dashed lines 95% intervals) as a function of σx under misspecified model. The covariates are generated as xi=zi/2+ϵi, where zi is a spatial process and ϵi∼iidNormal0,σx2 and the plots in the top row are the spatial component, zi. This figure appears in color in the electronic version of this article, and any mention of color refers to that version
See this image and copyright information in PMC

Comment on

References

    1. Chen H and Shiau J-JH (1994) Data-driven efficient estimators for a partially linear model. Annals of Statistics, 22, 211–237.
    1. Davis ML, Neelon B, Nietert PJ, Hunt KJ, Burgette LF, Lawson AB et al. (2019) Addressing geographic confounding through spatial propensity scores: a study of racial disparities in diabetes. Statistical Methods in Medical Research, 28, 734–748. - PMC - PubMed
    1. Giffin A, Reich BJ, Yang S and Rappold AG (2020) Generalized propensity score approach to causal inference with spatial interference. arXiv preprint arXiv:2007.00106. - PMC - PubMed
    1. Guan Y, Page GL, Reich BJ, Ventrucci M and Yang S (2020) A spectral adjustment for spatial confounding. arXiv preprint arXiv:2012.11767. - PMC - PubMed
    1. Keller JP and Szpiro AA (2019) Selecting a scale for spatial confounding adjustment. arXiv preprint arXiv:1909.11161. - PMC - PubMed

MeSH terms