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Clinical Trials (London, England)|October 17, 2017
Multiplicity-adjusted semiparametric benefiting subgroup identification in clinical trialsPatrick M Schnell, Peter Müller, Qi Tang, et al.
Statistics in Biopharmaceutical Research|August 23, 2019
Borrowing from Historical Control Data in Cancer Drug Development: A Cautionary Tale and Practical GuidelinesConnor Jo Lewis, Somnath Sarkar, Jiawen Zhu, et al.
Statistics in Medicine|December 14, 2011
Bayesian adjusted R2 for the meta-analytic evaluation of surrogate time-to-event endpoints in clinical trialsLindsay A Renfro, Qian Shi, Daniel J Sargent, et al.
Computational Statistics & Data Analysis|January 23, 2009
Hierarchical Multiresolution Approaches for Dense Point-Level Breast Cancer Treatment DataShengde Liang, Sudipto Banerjee, Sally Bushhouse, et al.
Biometrics|May 10, 2016
A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effectsPatrick M Schnell, Qi Tang, Walter W Offen, et al.
American Journal of Veterinary Research|February 26, 2014
Evaluation of the accuracy of neurologic data, survey radiographic results, or both for localization of the site of thoracolumbar intervertebral disk herniation in dogsTsuyoshi Murakami, Daniel A Feeney, Jennifer L Willey, et al.
Statistics in Medicine|September 23, 2025
Group Sequential Trial Design Using Stepwise Monte Carlo for Increased Flexibility and RobustnessAmitay Kamber, Elad Berkman, Tzviel Frostig, et al.
The American Journal of Gastroenterology|March 18, 2006
Increasing yield also increases false positives and best serves to exclude GERDJason Connor, Joel Richter
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