Automated candidate confounder scoping for adjustment in clinical research: a retrieval-augmented generation approach.

Li J, Wu K, Wang X, Tao R, Ma Y, Lv H, Zhao X, Lan Y, Li L, Wang L

DOI: 10.1186/s13040-026-00562-0
Published: 2026 May 16
Container: BioData mining
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s13040-026-00562-0,
  title = {Automated candidate confounder scoping for adjustment in clinical research: a retrieval-augmented generation approach.},
  author = {Li J and Wu K and Wang X and Tao R and Ma Y and Lv H and Zhao X and Lan Y and Li L and Wang L},
  year = {2026},
  journal = {BioData mining},
  doi = {10.1186/s13040-026-00562-0},
  url = {https://doi.org/10.1186/s13040-026-00562-0}
}

RIS

TY  - JOUR
TI  - Automated candidate confounder scoping for adjustment in clinical research: a retrieval-augmented generation approach.
AU  - Li J
AU  - Wu K
AU  - Wang X
AU  - Tao R
AU  - Ma Y
AU  - Lv H
AU  - Zhao X
AU  - Lan Y
AU  - Li L
AU  - Wang L
PY  - 2026
JO  - BioData mining
DO  - 10.1186/s13040-026-00562-0
UR  - https://doi.org/10.1186/s13040-026-00562-0
ER  -

APA

J, L., K, W., X, W., R, T., Y, M., H, L., X, Z., Y, L., L, L., & L, W. (2026). Automated candidate confounder scoping for adjustment in clinical research: a retrieval-augmented generation approach.. BioData mining. https://doi.org/10.1186/s13040-026-00562-0

Source records

pubmed · retrieved 2026-09-25T22:02:24.531Z