Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
- PMID: 35352824
- DOI: 10.1111/biom.13654
Discussion on "Spatial+: a novel approach to spatial confounding" by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin
Comment on
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Spatial+: A novel approach to spatial confounding.Biometrics. 2022 Dec;78(4):1279-1290. doi: 10.1111/biom.13656. Epub 2022 Mar 30. Biometrics. 2022. PMID: 35258102 Free PMC article.
References
REFERENCES
-
- Banerjee, S., Carlin, B.P. and Gelfand, A.E. (2015) Hierarchical Modeling and Analysis of Spatial Data, 2nd edition. New York: Chapman and Hall.
-
- Carpenter, B., Gelman, A., Hoffman, M., Lee, D., Goodrich, B., Betancourt, M. et al. (2017) Stan: a probabilistic programming language. Journal of Statistical Software, Articles, 76, 1-32.
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- Gelfand, A.E., Schmidt, A.M., Banerjee, S. and Sirmans, C.F. (2004) Nonstationary multivariate process modeling through spatially varying coregionalization (with discussion). Test, 13, 263-312.
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- Marques, I., Kneib, T. and Klein, N. (2021) A multivariate Gaussian random field prior against spatial confounding. arXiv:2106.03737v1, https://doi.org/10.48550/arXiv.2106.03737
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- McCandless, L.C., Douglas, I.J., Evans, S.J. and Smeeth, L. (2010) Cutting feedback in Bayesian regression adjustment for the propensity score. The International Journal of Biostatistics, 6(2), https://doi.org/10.2202/1557-4679.1205. PMID: 21972431.
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