The Use of Bayesian Hierarchical Models for Adaptive Randomization in Biomarker-Driven Phase II Studies-Reference-Cited by-同舟云学术

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The Use of Bayesian Hierarchical Models for Adaptive Randomization in Biomarker-Driven Phase II Studies

Published:2015-01-02 Issue:1 Volume:25 Page:66-88
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Barry William T.,Perou Charles M.,Marcom P. Kelly,Carey Lisa A.,Ibrahim Joseph G.

Funder

North Carolina Biotechnology Center

NIH Duke Scalable Computing Resource

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

http://www.tandfonline.com/doi/pdf/10.1080/10256018808623883

Reference52 articles.

1. Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial

2. Wild-TypeKRASIs Required for Panitumumab Efficacy in Patients With Metastatic Colorectal Cancer

3. I-SPY 2: An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy

4. Everolimus in Postmenopausal Hormone-Receptor–Positive Advanced Breast Cancer

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