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

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  • Brian J. Reich
  • Shu Yang
  • Yawen Guan

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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, The International Biometric Society, vol. 78(4), pages 1291-1294, December.
    • Handle: RePEc:bla:biomet:v:78:y:2022:i:4:p:1291-1294
    DOI: 10.1111/biom.13651
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    References listed on IDEAS

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    1. Hauke Thaden & Thomas Kneib, 2018. "Structural Equation Models for Dealing With Spatial Confounding," The American Statistician, Taylor & Francis Journals, vol. 72(3), pages 239-252, July.
    2. 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, International Statistical Institute, vol. 89(3), pages 605-634, December.
    3. Tingting Zhou & Michael R. Elliott & Roderick J. A. Little, 2019. "Penalized Spline of Propensity Methods for Treatment Comparison: Rejoinder," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(525), pages 35-38, January.
    4. Georgia Papadogeorgou & Fan Li, 2019. "Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison”," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(525), pages 32-35, January.
    5. Tingting Zhou & Michael R. Elliott & Roderick J. A. Little, 2019. "Penalized Spline of Propensity Methods for Treatment Comparison," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(525), pages 1-19, January.
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