Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/32954| Title: | Jiangfeng Wang, Keming Yu and Rong Jiang's contribution to the Discussion of ‘Augmented balancing weights as linear regression’ by Bruns-Smith et al |
| Authors: | Wang, J Yu, K Jiang, R |
| Issue Date: | 13-Jan-2026 |
| Publisher: | Oxford University Press on behalf of the Royal Statistical Society |
| Citation: | Wang, 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. |
| Abstract: | This 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. ... |
| Description: | Discussion Paper Contribution. |
| URI: | https://bura.brunel.ac.uk/handle/2438/32954 |
| DOI: | https://doi.org/10.1093/jrsssb/qkag025 |
| ISSN: | 1369-7412 |
| Other Identifiers: | ORCiD: Keming Yu https://orcid.org/0000-0001-6341-8402 |
| Appears in Collections: | Department of Mathematics Embargoed Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed 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 MB | Adobe PDF | View/Open |
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