Brian P Hobbs

13PUBLICATIONS
23CO-AUTHORS
Radiation therapyEconomic models and forecastingCancer geneticsMolecular targetsCancer therapy (excl. chemotherapy and radiation therapy)
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Publications (13)

|Sep 08, 2025
Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection to Mitigate Immunosuppression.

Duo Yu, Michael J Kane, Yiqing Chen

|Jan 12, 2023
Modeling Costs and Life-Years Gained by Population-Wide Next-Generation Sequencing or Single-Gene Testing in Nonsquamous Non-Small-Cell Lung Cancer in the United States.

Christopher A Lemmon, Jie Zhou, Brian Hobbs

|Aug 02, 2022
Bayesian and frequentist approaches to sequential monitoring for futility in oncology basket trials: A comparison of Simon's two-stage design and Bayesian predictive probability monitoring with information sharing across baskets.

Alexander Kaizer, Emily Zabor, Lei Nie

|May 10, 2022
Basket Trials: Review of Current Practice and Innovations for Future Trials.

Brian P Hobbs, Roberto Carmagnani Pestana, Emily C Zabor

|Apr 06, 2022
Optimal Sequential Predictive Probability Designs for Early-Phase Oncology Expansion Cohorts.

Emily C Zabor, Alexander M Kaizer, Elizabeth Garrett-Mayer

|Dec 10, 2021
Predicting outcomes of phase III oncology trials with Bayesian mediation modeling of tumor response.

Jie Zhou, Xun Jiang, Hong Amy Xia

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Frequent Collaborators

4 joint publications

Alexander M Kaizer

2 joint publications

Joseph S Koopmeiners

2 joint publications

Emily C Zabor

2 joint publications

Steven H Lin