Augmented match weighted estimators: new methods for estimating average treatment effects under extreme propensity scores.

Xu T, Zhang Y, Yang S

DOI: 10.1080/10543406.2026.2699851
Published: 2026 Jul 22
Container: Journal of biopharmaceutical statistics
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1080/10543406.2026.2699851,
  title = {Augmented match weighted estimators: new methods for estimating average treatment effects under extreme propensity scores.},
  author = {Xu T and Zhang Y and Yang S},
  year = {2026},
  journal = {Journal of biopharmaceutical statistics},
  doi = {10.1080/10543406.2026.2699851},
  url = {https://doi.org/10.1080/10543406.2026.2699851}
}

RIS

TY  - JOUR
TI  - Augmented match weighted estimators: new methods for estimating average treatment effects under extreme propensity scores.
AU  - Xu T
AU  - Zhang Y
AU  - Yang S
PY  - 2026
JO  - Journal of biopharmaceutical statistics
DO  - 10.1080/10543406.2026.2699851
UR  - https://doi.org/10.1080/10543406.2026.2699851
ER  -

APA

T, X., Y, Z., & S, Y. (2026). Augmented match weighted estimators: new methods for estimating average treatment effects under extreme propensity scores.. Journal of biopharmaceutical statistics. https://doi.org/10.1080/10543406.2026.2699851

Source records

pubmed · retrieved 2026-09-25T23:14:30.164Z
europe-pmc · retrieved 2026-09-25T23:14:30.176Z