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Peer-reviewedLicence not statedBiometrika

Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI

  • Wenlong Ji1
  • Lihua Lei2
  • Tijana Zrnic3
  1. 1Stanford University Department of Statistics, , 450 Jane Stanford Way, 94305-2004, CA,
  2. 2Stanford University Graduate School of Business and Department of Statistics, , 450 Jane Stanford Way, 94305-2004, CA,
  3. 3Stanford University Departments of Statistics and Management Science & Engineering, , 450 Jane Stanford Way, 94305-2004, CA,
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Cite

BibTeXRIS
BibTeX
@article{ji2026predictions,
  title = {{Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI}},
  author = {Wenlong Ji and Lihua Lei and Tijana Zrnic},
  journal = {Biometrika},
  year = {2026},
  month = sep,
  doi = {10.1093/biomet/asag053},
  url = {https://arxiv.org/abs/2501.09731},
}
RIS
TY  - JOUR
TI  - Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
AU  - Wenlong Ji
AU  - Lihua Lei
AU  - Tijana Zrnic
PY  - 2026
DA  - 2026/09/08
JO  - Biometrika
DO  - 10.1093/biomet/asag053
UR  - https://arxiv.org/abs/2501.09731
SN  - 0006-3444
SN  - 1464-3510
ER  -