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A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications

dc.contributor.authorReich, Brian J.
dc.contributor.authorYang, Shu
dc.contributor.authorGuan, Yawen
dc.contributor.authorGiffin, Andrew B.
dc.contributor.authorMiller, Matthew J.
dc.contributor.authorRappold, Ana
dc.date.accessioned2021-06-02T08:34:16Z
dc.date.available2021-06-02T08:34:16Z
dc.date.issued2021-05-31
dc.identifier.citationReich, B. J., Yang, S., Guan, Y., Giffin, A. B., Miller, M. J., & Rappold, A. (2021). A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications. International Statistical Review. doi:10.1111/insr.12452
dc.identifier.issn0306-7734
dc.identifier.issn1751-5823
dc.identifier.doi10.1111/insr.12452
dc.identifier.urihttp://hdl.handle.net/10754/669346
dc.description.sponsorshipKing Abdullah University of Science and Technology. Grant Number: 3800.2
dc.publisherWiley
dc.relation.urlhttps://onlinelibrary.wiley.com/doi/10.1111/insr.12452
dc.rightsArchived with thanks to International Statistical Review
dc.titleA Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications
dc.typeArticle
dc.identifier.journalInternational Statistical Review
dc.rights.embargodate2022-05-31
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Statistics North Carolina State University Raleigh NC 27695 USA
dc.contributor.institutionDepartment of Statistics University of Nebraska-Lincoln Lincoln NE 68583 USA
dc.contributor.institutionUS Environmental Protection Agency Research Triangle Park NC 27709 USA
dc.identifier.arxivid2007.02714
kaust.grant.number3800.2
dc.date.published-online2021-05-31
dc.date.published-print2021-12


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