Comparative performance of large language models for appraising bias in real-world evidence studies.
- DOI
- 10.18553/jmcp.2026.32.9.1062
- Published
- 2026 Sep
- Container
- Journal of managed care & specialty pharmacy
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.18553/jmcp.2026.32.9.1062,
title = {Comparative performance of large language models for appraising bias in real-world evidence studies.},
author = {Okeke CM and Nechi R and Khalid J and Karaye IM and Thornton JD and Yunusa I},
year = {2026},
journal = {Journal of managed care \& specialty pharmacy},
doi = {10.18553/jmcp.2026.32.9.1062},
url = {https://doi.org/10.18553/jmcp.2026.32.9.1062}
}RIS
TY - JOUR TI - Comparative performance of large language models for appraising bias in real-world evidence studies. AU - Okeke CM AU - Nechi R AU - Khalid J AU - Karaye IM AU - Thornton JD AU - Yunusa I PY - 2026 JO - Journal of managed care & specialty pharmacy DO - 10.18553/jmcp.2026.32.9.1062 UR - https://doi.org/10.18553/jmcp.2026.32.9.1062 ER -
APA
CM, O., R, N., J, K., IM, K., JD, T., & I, Y. (2026). Comparative performance of large language models for appraising bias in real-world evidence studies.. Journal of managed care & specialty pharmacy. https://doi.org/10.18553/jmcp.2026.32.9.1062
Source records
- pubmed · retrieved 2026-09-26T15:00:58.726Z