Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32954
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, J-
dc.contributor.authorYu, K-
dc.contributor.authorJiang, R-
dc.date.accessioned2026-03-10T10:05:44Z-
dc.date.available2026-03-10T10:05:44Z-
dc.date.issued2026-01-13-
dc.identifierORCiD: Keming Yu https://orcid.org/0000-0001-6341-8402-
dc.identifier.citationWang, J., Yu, K. and Jiang, R. (2026) 'Jiangfeng Wang, Keming Yu and Rong Jiang's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al', Journal of the Royal Statistical Society Series B: Statistical Methodology, 0 (ahead of print), qkag025, pp. 1–2. doi: 10.1093/jrsssb/qkag025.en-GB
dc.identifier.issn1369-7412-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/32954-
dc.descriptionDiscussion Paper Contribution.en-GB
dc.description.abstractThis is an interesting and well-executed paper that makes a substantial contribution to the literature on semiparametric causal inference, elegantly bridging the seemingly distinct fields of balancing weights and regression adjustment. ...en-GB
dc.description.sponsorshipThe research was supported by grants from National Key R&D Program of China (Grant No. 2024YFA1013502), National Natural Science Foundation of China (Grant Nos. U23A2064; 12031005; 12531013), Natural Science Foundation of Zhejiang Province (Grant Nos. LY24A010004) and the Teacher Professional Development Program for Domestic Visiting Scholars (FX2023017).en-GB
dc.format.extent1–2-
dc.format.mediumPrint-Electronic-
dc.languageen-GB-
dc.language.isoenen-GB
dc.publisherOxford University Press on behalf of the Royal Statistical Societyen-GB
dc.rightsCopyright © Royal Statistical Society 2026. Published by Oxford University Press. This is a pre-copy-editing, author-produced version of an article accepted for publication in Journal of the Royal Statistical Society, Series B (Statistical Methodology), following peer review. The definitive publisher-authenticated version Jiangfeng Wang, Keming Yu, Rong Jiang, Jiangfeng Wang, Keming Yu and Rong Jiang's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al, Journal of the Royal Statistical Society Series B: Statistical Methodology, 2026;, qkag025, is available online at: https://doi.org/10.1093/jrsssb/qkag025 (see: https://global.oup.com/academic/rights/permissions/autperm/?cc=gb&lang=en&).-
dc.rights.urihttps://global.oup.com/academic/rights/permissions/autperm/?cc=gb&lang=en&-
dc.titleJiangfeng Wang, Keming Yu and Rong Jiang's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et alen-GB
dc.typeArticleen-GB
dc.date.dateAccepted2025-09-08-
dc.identifier.doihttps://doi.org/10.1093/jrsssb/qkag025-
dc.relation.isPartOfJournal of the Royal Statistical Society Series B: Statistical Methodology-
pubs.issue0-
pubs.publication-statusPublished online-
pubs.volume00-
dc.identifier.eissn1467-9868-
dcterms.dateAccepted2025-09-08-
dc.rights.holderRoyal Statistical Society-
dc.contributor.orcidYu, Keming [0000-0001-6341-8402]-
dc.identifier.numberqkag025-
Appears in Collections:Department of Mathematics Embargoed Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfEmbargoed until 13 January 2027. Copyright © Royal Statistical Society 2026. Published by Oxford University Press. This is a pre-copy-editing, author-produced version of an article accepted for publication in Journal of the Royal Statistical Society, Series B (Statistical Methodology), following peer review. The definitive publisher-authenticated version Jiangfeng Wang, Keming Yu, Rong Jiang, Jiangfeng Wang, Keming Yu and Rong Jiang's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al, Journal of the Royal Statistical Society Series B: Statistical Methodology, 2026;, qkag025, is available online at: https://doi.org/10.1093/jrsssb/qkag025 (see: https://global.oup.com/academic/rights/permissions/autperm/?cc=gb&lang=en&).2.19 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.