Brian P Hobbs (Brian Hobbs)

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Machine Learning

Top Venues

JCO precision oncology

Statistics in medicine

Statistical methods in medical research

This page only lists publications with an associated author ORCID identifier.

Publications

Christopher A Lemmon, Jie Zhou, Brian P Hobbs, Nathan A Pennell
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. JCO precision oncology 7 (2023)
Christopher A Lemmon, Jie Zhou, Brian P Hobbs, Nathan A Pennell
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. JCO precision oncology 7 (2023)
Christopher A Lemmon, Jie Zhou, Brian P Hobbs, Nathan A Pennell
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. JCO precision oncology 7 (2023)
Brian P Hobbs, Roberto Carmagnani Pestana, Emily C Zabor, Alexander M Kaizer, David S Hong
Basket Trials: Review of Current Practice and Innovations for Future Trials. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 40 (30) (2022)
Alexander M Kaizer, Emily Zabor, Lei Nie, Brian P Hobbs
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. PloS one 17 (8) (2022)
Emily C Zabor, Alexander M Kaizer, Elizabeth Garrett-Mayer, Brian P Hobbs
Optimal Sequential Predictive Probability Designs for Early-Phase Oncology Expansion Cohorts. JCO precision oncology 6 (2022)
Ales Kotalik, David M Vock, Brian P Hobbs, Joseph Stephen Koopmeiners
A group-sequential randomized trial design utilizing supplemental trial data. Statistics in medicine (2021)
Cong Zhu, Radhe Mohan, Steven Hsesheng Lin, Goo Jun, Ashraf Yaseen, Xiaoqian Jiang, Qianxia Wang, Wenhua Cao, Brian P Hobbs
Identifying Individualized Risk Profiles for Radiotherapy-Induced Lymphopenia Among Patients With Esophageal Cancer Using Machine Learning. JCO clinical cancer informatics 5 (2021)
Jie Zhou, Xun Jiang, Hong Amy Xia, Peng Wei, Brian P Hobbs
Predicting outcomes of phase III oncology trials with Bayesian mediation modeling of tumor response. Statistics in medicine (2021)
Alexander M Kaizer, Joseph Stephen Koopmeiners, Nan Chen, Brian P Hobbs
Statistical design considerations for trials that study multiple indications. Statistical methods in medical research 30 (3) (2020)
Yuan Wang, Jianhua Hu, Chaan S Ng, Brian P Hobbs
A functional model for classifying metastatic lesions integrating scans and biomarkers. Statistical methods in medical research 29 (1) (2019)
Alok A Khorana, Katherine Tullio, Paul Elson, Nathan A Pennell, Stephen R Grobmyer, Matthew F Kalady, Daniel Raymond, Jame Abraham, Eric E Klein, R Matthew Walsh, Emily E Monteleone, Wei Wei, Brian P Hobbs, Brian J Bolwell
Time to initial cancer treatment in the United States and association with survival over time: An observational study. PloS one 14 (3) (2019)
Brian P Hobbs, Rick Landin
Bayesian basket trial design with exchangeability monitoring. Statistics in medicine 37 (25) (2018)
Meilin Huang, Brian P Hobbs
Estimating mean local posterior predictive benefit for biomarker-guided treatment strategies. Statistical methods in medical research 28 (9) (2018)