Large language models for full-text methods assessment: a case study on mediation analysis

Wenqing Zhang, Trang Nguyen, Elizabeth A Stuart, Yiqun T Chen

Open source

DOI: 10.1093/jamia/ocag108
Published: 2026-06-17
Container: Journal of the American Medical Informatics Association
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/jamia/ocag108,
  title = {Large language models for full-text methods assessment: a case study on mediation analysis},
  author = {Wenqing Zhang and Trang Nguyen and Elizabeth A Stuart and Yiqun T Chen},
  year = {2026},
  journal = {Journal of the American Medical Informatics Association},
  doi = {10.1093/jamia/ocag108},
  url = {https://doi.org/10.1093/jamia/ocag108}
}

RIS

TY  - JOUR
TI  - Large language models for full-text methods assessment: a case study on mediation analysis
AU  - Wenqing Zhang
AU  - Trang Nguyen
AU  - Elizabeth A Stuart
AU  - Yiqun T Chen
PY  - 2026
JO  - Journal of the American Medical Informatics Association
DO  - 10.1093/jamia/ocag108
UR  - https://doi.org/10.1093/jamia/ocag108
ER  -

APA

Zhang, W., Nguyen, T., Stuart, E. A., & Chen, Y. T. (2026). Large language models for full-text methods assessment: a case study on mediation analysis. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocag108

Source records

crossref · retrieved 2026-09-25T04:55:21.258Z