Barry, William T <br/><br/>
The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies.  [electronic resource] 

 -  Journal of biopharmaceutical statistics  2015 
 - 66-88 p.  digital 
<br/><br/> Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1520-5711 
<br/><br/><label>Standard No.: </label>10.1080/10543406.2014.919933  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Bayes Theorem<br/>Biomarkers, Tumor--metabolism<br/>Clinical Trials, Phase II as Topic--statistics & numerical data<br/>Computer Simulation<br/>Humans<br/>Models, Statistical<br/>Neoplasms--drug therapy<br/>Predictive Value of Tests<br/>Random Allocation<br/>Randomized Controlled Trials as Topic--statistics & numerical data<br/>Sample Size<br/>Treatment Outcome