The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies.
Barry, William T
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
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1520-5711
10.1080/10543406.2014.919933 doi
Bayes Theorem
Biomarkers, Tumor--metabolism
Clinical Trials, Phase II as Topic--statistics & numerical data
Computer Simulation
Humans
Models, Statistical
Neoplasms--drug therapy
Predictive Value of Tests
Random Allocation
Randomized Controlled Trials as Topic--statistics & numerical data
Sample Size
Treatment Outcome
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
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1520-5711
10.1080/10543406.2014.919933 doi
Bayes Theorem
Biomarkers, Tumor--metabolism
Clinical Trials, Phase II as Topic--statistics & numerical data
Computer Simulation
Humans
Models, Statistical
Neoplasms--drug therapy
Predictive Value of Tests
Random Allocation
Randomized Controlled Trials as Topic--statistics & numerical data
Sample Size
Treatment Outcome