Brian P Hobbs

发表

Flexible Bayesian survival modeling with semiparametric time-dependent and shape-restricted covariate effects.

Bradley P Carlin, Thomas A Murray, Brian P Hobbs, 2016, Bayesian analysis.

A multi‐source adaptive platform design for testing sequential combinatorial therapeutic strategies

Brian P Hobbs, Alexander M Kaizer, Joseph S Koopmeiners, 2018, Biometrics.

COMBINING NONEXCHANGEABLE FUNCTIONAL OR SURVIVAL DATA SOURCES IN ONCOLOGY USING GENERALIZED MIXTURE COMMENSURATE PRIORS.

Bradley P Carlin, Thomas A Murray, Brian P Hobbs, 2015, The annals of applied statistics.

Detecting and accounting for violations of the constancy assumption in non-inferiority clinical trials

Brian P Hobbs, Joseph S Koopmeiners, J. Koopmeiners, 2018, Statistical methods in medical research.

Inferring Stable Acquisition Durations for Applications of Perfusion Imaging in Oncology

Brian P Hobbs, Chaan S Ng, C. Ng, 2015, Cancer informatics.

Commensurate Priors for Incorporating Historical Information in Clinical Trials Using General and Generalized Linear Models.

Bradley P Carlin, Brian P Hobbs, Daniel J Sargent, 2012, Bayesian analysis.

Bayesian hierarchical modeling based on multisource exchangeability

Brian P Hobbs, Alexander M Kaizer, Joseph S Koopmeiners, 2018, Biostatistics.

Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials

Bradley P Carlin, Brian P Hobbs, Daniel J Sargent, 2011, Biometrics.

On nonparametric hazard estimation.

Brian P Hobbs, 2015, Journal of biometrics & biostatistics.

Controlled multi-arm platform design using predictive probability

Brian P Hobbs, Nan Chen, J Jack Lee, 2018, Statistical methods in medical research.