A Multi‐Task Learning Approach for Identifying Prognostic Variables Across Multiple Historical Clinical Trials

Xueying Liu, Huijing Jiang, Jennie Zhang, Xinwei Deng

Open source

DOI: 10.1002/sim.70772
Published: 2026-10
Container: Statistics in Medicine
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/sim.70772,
  title = {A Multi‐Task Learning Approach for Identifying Prognostic Variables Across Multiple Historical Clinical Trials},
  author = {Xueying Liu and Huijing Jiang and Jennie Zhang and Xinwei Deng},
  year = {2026},
  journal = {Statistics in Medicine},
  doi = {10.1002/sim.70772},
  url = {https://doi.org/10.1002/sim.70772}
}

RIS

TY  - JOUR
TI  - A Multi‐Task Learning Approach for Identifying Prognostic Variables Across Multiple Historical Clinical Trials
AU  - Xueying Liu
AU  - Huijing Jiang
AU  - Jennie Zhang
AU  - Xinwei Deng
PY  - 2026
JO  - Statistics in Medicine
DO  - 10.1002/sim.70772
UR  - https://doi.org/10.1002/sim.70772
ER  -

APA

Liu, X., Jiang, H., Zhang, J., & Deng, X. (2026). A Multi‐Task Learning Approach for Identifying Prognostic Variables Across Multiple Historical Clinical Trials. Statistics in Medicine. https://doi.org/10.1002/sim.70772

Source records

crossref · retrieved 2026-11-10T06:10:52.723Z