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Bayesian Adaptive Trial Design for a Newly Validated Surrogate Endpoint
Renfro, Lindsay A.; Carlin, Bradley P.; Sargent, Daniel J. - In: Biometrics 68 (2012) 1, pp. 258-267
Persistent link: https://www.econbiz.de/10010683875
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Evaluating marker-guided treatment selection strategies
Matsouaka, Roland A.; Li, Junlong; Cai, Tianxi - In: Biometrics 70 (2014) 3, pp. 489-499
Persistent link: https://www.econbiz.de/10010946511
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Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials
Hobbs, Brian P.; Carlin, Bradley P.; Mandrekar, Sumithra J. - In: Biometrics 67 (2011) 3, pp. 1047-1056
Persistent link: https://www.econbiz.de/10010947394
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Bayesian Variable Selection with Joint Modeling of Categorical and Survival Outcomes: An Application to Individualizing Chemotherapy Treatment in Advanced Colorectal Cancer
Chen, Wei; Ghosh, Debashis; Raghunathan, Trivellore E.; … - In: Biometrics 65 (2009) 4, pp. 1030-1040
Persistent link: https://www.econbiz.de/10010948101
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Predicting Treatment Effect from Surrogate Endpoints and Historical Trials: An Extrapolation Involving Probabilities of a Binary Outcome or Survival to a Specific Time
Baker, Stuart G.; Sargent, Daniel J.; Buyse, Marc; … - In: Biometrics 68 (2012) 1, pp. 248-257
Persistent link: https://www.econbiz.de/10010683907
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Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling
Ghosh, Debashis; Taylor, Jeremy M. G.; Sargent, Daniel J. - In: Biometrics 68 (2012) 1, pp. 226-232
Persistent link: https://www.econbiz.de/10010683919
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Rejoinder for “Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”
Ghosh, Debashis; Taylor, Jeremy M. G.; Sargent, Daniel J. - In: Biometrics 68 (2012) 1, pp. 245-247
Persistent link: https://www.econbiz.de/10011036076