DROID: dose‐ranging approach to optimizing dose in oncology drug development
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DOI: 10.1111/biom.13840
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References listed on IDEAS
- Beibei Guo & Ying Yuan, 2017. "Bayesian Phase I/II Biomarker-Based Dose Finding for Precision Medicine With Molecularly Targeted Agents," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 508-520, April.
- Ying Yuan & Guosheng Yin, 2009. "Bayesian dose finding by jointly modelling toxicity and efficacy as time‐to‐event outcomes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(5), pages 719-736, December.
- F. Bretz & J. C. Pinheiro & M. Branson, 2005. "Combining Multiple Comparisons and Modeling Techniques in Dose-Response Studies," Biometrics, The International Biometric Society, vol. 61(3), pages 738-748, September.
- Ick Hoon Jin & Suyu Liu & Peter F. Thall & Ying Yuan, 2014. "Using Data Augmentation to Facilitate Conduct of Phase I-II Clinical Trials With Delayed Outcomes," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 525-536, June.
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