Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.
- DOI
- 10.1038/s41591-024-03352-5
- Published
- 2025 Feb
- Container
- Nature medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41591-024-03352-5,
title = {Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.},
author = {Orcutt X and Chen K and Mamtani R and Long Q and Parikh RB},
year = {2025},
journal = {Nature medicine},
doi = {10.1038/s41591-024-03352-5},
url = {https://doi.org/10.1038/s41591-024-03352-5}
}RIS
TY - JOUR TI - Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations. AU - Orcutt X AU - Chen K AU - Mamtani R AU - Long Q AU - Parikh RB PY - 2025 JO - Nature medicine DO - 10.1038/s41591-024-03352-5 UR - https://doi.org/10.1038/s41591-024-03352-5 ER -
APA
X, O., K, C., R, M., Q, L., & RB, P. (2025). Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.. Nature medicine. https://doi.org/10.1038/s41591-024-03352-5
Source records
- pubmed · retrieved 2026-09-27T08:51:22.929Z