PROComb: A Practical and Robust Design With Randomization to Optimize Dose Combinations in Drug Combination Trials

Yingjie Qiu, Mingyue Li

Open source

DOI: 10.1002/sim.70743
Published: 2026-09-23
Container: Statistics in Medicine
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/sim.70743,
  title = {PROComb: A Practical and Robust Design With Randomization to Optimize Dose Combinations in Drug Combination Trials},
  author = {Yingjie Qiu and Mingyue Li},
  year = {2026},
  journal = {Statistics in Medicine},
  doi = {10.1002/sim.70743},
  url = {https://doi.org/10.1002/sim.70743}
}

RIS

TY  - JOUR
TI  - PROComb: A Practical and Robust Design With Randomization to Optimize Dose Combinations in Drug Combination Trials
AU  - Yingjie Qiu
AU  - Mingyue Li
PY  - 2026
JO  - Statistics in Medicine
DO  - 10.1002/sim.70743
UR  - https://doi.org/10.1002/sim.70743
ER  -

APA

Qiu, Y., & Li, M. (2026). PROComb: A Practical and Robust Design With Randomization to Optimize Dose Combinations in Drug Combination Trials. Statistics in Medicine. https://doi.org/10.1002/sim.70743

Source records

crossref · retrieved 2026-09-24T20:25:33.872Z