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The American Statistician Volume 72, 2018 - Issue 3
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Statistical Practice

Structural Equation Models for Dealing With Spatial Confounding

Hauke ThadenDepartment of Statistics and Econometrics, Georg-August University of Göttingen, GermanyView further author information
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Thomas KneibDepartment of Statistics and Econometrics, Georg-August University of Göttingen, GermanyCorrespondence[email protected]
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Pages 239-252 | Received 01 Sep 2015, Published online: 21 Mar 2018

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Kori Khan & Catherine A. Calder. (2022) Restricted Spatial Regression Methods: Implications for Inference. Journal of the American Statistical Association 117:537, pages 482-494.
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Articles from other publishers (27)

Martina Narcisi, Fedele Greco & Carlo Trivisano. (2024) On the effect of confounding in linear regression models: an approach based on the theory of quadratic forms. Environmental and Ecological Statistics.
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Peter Congdon. (2024) Psychosis prevalence in London neighbourhoods; A case study in spatial confounding. Spatial and Spatio-temporal Epidemiology 48, pages 100631.
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Emiko Dupont & Nicole H. Augustin. (2023) Spatial Confounding and Spatial+ for Nonlinear Covariate Effects. Journal of Agricultural, Biological and Environmental Statistics.
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Rafael Arce Guillen, Finn Lindgren, Stefanie Muff, Thomas W. Glass, Greg A. Breed & Ulrike E. Schlägel. (2023) Accounting for unobserved spatial variation in step selection analyses of animal movement via spatial random effects. Methods in Ecology and Evolution 14:10, pages 2639-2653.
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Gerardo Gutiérrez, Tomas Goicoa, María Dolores Ugarte, Lidia Aranguren, Asier Corrales, Gustavo Gil-Berrozpe, Julián Librero, Ana M. Sánchez-Torres, Victor Peralta, Elena García de Jalon, Manuel J. Cuesta, Matilde Martínez, Maria Otero, Leire Azcarate, Nahia Pereda, Fernando Monclús, Laura Moreno, Alba Fernández, Mari Cruz Ariz, Alba Sabaté, Ainhoa Aquerreta, Izaskun Aguirre, Tadea Lizarbe & Maria Jose Begué. (2023) Small area variations in non-affective first-episode psychosis: the role of socioeconomic and environmental factors. European Archives of Psychiatry and Clinical Neuroscience.
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Yawen Guan, Garritt L Page, Brian J Reich, Massimo Ventrucci & Shu Yang. (2023) Spectral adjustment for spatial confounding. Biometrika 110:3, pages 699-719.
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Carlos García, Zaida Quiroz & Marcos Prates. (2022) Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru. Computational Statistics 38:2, pages 603-621.
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Arantxa Urdangarin, Tomás Goicoa & María Dolores Ugarte. (2022) Evaluating recent methods to overcome spatial confounding. Revista Matemática Complutense 36:2, pages 333-360.
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Kamal Akbari, Stephan Winter & Martin Tomko. (2021) Spatial Causality: A Systematic Review on Spatial Causal Inference. Geographical Analysis 55:1, pages 56-89.
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Emiko Dupont, Simon N. Wood & Nicole H. Augustin. (2022) Spatial+: A novel approach to spatial confounding. Biometrics 78:4, pages 1279-1290.
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Georgia Papadogeorgou. (2022) Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin. Biometrics 78:4, pages 1305-1308.
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Brian J. Reich, Shu Yang & Yawen Guan. (2022) Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin. Biometrics 78:4, pages 1291-1294.
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Isa Marques & Thomas Kneib. (2022) Discussion on “Spatial+: A novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin. Biometrics 78:4, pages 1295-1299.
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Isa Marques, Thomas Kneib & Nadja Klein. (2022) Mitigating spatial confounding by explicitly correlating Gaussian random fields. Environmetrics 33:5.
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Justin J. Van Ee, Jacob S. Ivan & Mevin B. Hooten. (2022) Community confounding in joint species distribution models. Scientific Reports 12:1.
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Jennifer F. Bobb, Maricela F. Cruz, Stephen J. Mooney, Adam Drewnowski, David Arterburn & Andrea J. Cook. (2022) Accounting for Spatial Confounding in Epidemiological Studies with Individual-Level Exposures: An Exposure-Penalized Spline Approach. Journal of the Royal Statistical Society Series A: Statistics in Society 185:3, pages 1271-1293.
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Emil N Coman, Sandro Steinbach & Guofeng Cao. (2022) Spatial perspectives in family health research. Family Practice 39:3, pages 556-562.
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Mahsa Nadifar, Hossein Baghishani & Afshin Fallah. (2022) A flexible Bayesian nonconfounding spatial model for analysis of dispersed count data. Biometrical Journal 64:4, pages 758-770.
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Yuan YanEva CantoniChris FieldMargaret TrebleJoanna Mills Flemming. (2022) Spatiotemporal modeling of bycatch data: methods and a practical guide through a case study in a Canadian Arctic fishery. Canadian Journal of Fisheries and Aquatic Sciences 79:1, pages 148-158.
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Brian J. Reich, Shu Yang, Yawen Guan, Andrew B. Giffin, Matthew J. Miller & Ana Rappold. (2021) A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications. International Statistical Review 89:3, pages 605-634.
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Douglas R. M. Azevedo, Marcos O. Prates & Dipankar Bandyopadhyay. (2021) MSPOCK: Alleviating Spatial Confounding in Multivariate Disease Mapping Models. Journal of Agricultural, Biological and Environmental Statistics 26:3, pages 464-491.
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Widemberg S. Nobre, Alexandra M. Schmidt & João B. M. Pereira. (2020) On the Effects of Spatial Confounding in Hierarchical Models. International Statistical Review 89:2, pages 302-322.
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Patrick M. Schnell & Georgia Papadogeorgou. (2020) Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths. The Annals of Applied Statistics 14:4.
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Hauke Thaden, Nadja Klein & Thomas Kneib. (2019) Multivariate effect priors in bivariate semiparametric recursive Gaussian models. Computational Statistics & Data Analysis 137, pages 51-66.
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Kuei-Ching Pan, Shih-Yuan Hung, Chun-I Chen, Chu-Yun Lu, Mei-Ling Shih & Chiung-Yu Huang. (2019) Social support as a mediator between sleep disturbances, depressive symptoms, and health-related quality of life in patients undergoing hemodialysis. PLOS ONE 14:4, pages e0216045.
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Ryan B. Schmid, Trevor Hefley, Romulo Lollato & Brian P. McCornack. (2019) Landscape effects on Hessian fly, Mayetiola destructor (Diptera: Cecidomyiidae), distribution within six Kansas commercial wheat fields. Agriculture, Ecosystems & Environment 274, pages 52-61.
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Steen MAGNUSSEN. (2018) An estimation strategy to protect against over-estimating precision in a LiDAR-based prediction of a stand mean. Journal of Forest Science 64:12, pages 497-505.
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