Subgroup-Based Adaptive (SUBA) Designs for Multi-arm Biomarker Trials
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References listed on IDEAS
- Guosheng Yin & Nan Chen & J. Jack Lee, 2012. "Phase II trial design with Bayesian adaptive randomization and predictive probability," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(2), pages 219-235, March.
- Baladandayuthapani, Veerabhadran & Ji, Yuan & Talluri, Rajesh & Nieto-Barajas, Luis E. & Morris, Jeffrey S., 2010. "Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1358-1375.
- Riten Mitra & Peter MÃ¼ller & Shoudan Liang & Lu Yue & Yuan Ji, 2013. "A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(501), pages 69-80, March.
More about this item
KeywordsAdaptive designs; Bayesian inference; Biomarkers; Posterior; Subgroup identification; Targeted therapies;
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