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Brian P. Hobbs
Researcher at University of Texas at Austin
Publications - 144
Citations - 4840
Brian P. Hobbs is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Cancer & Radiation therapy. The author has an hindex of 29, co-authored 136 publications receiving 3065 citations. Previous affiliations of Brian P. Hobbs include Cleveland Clinic Lerner Research Institute & Cleveland Clinic.
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Journal ArticleDOI
Improved Axillary Evaluation Following Neoadjuvant Therapy for Patients With Node-Positive Breast Cancer Using Selective Evaluation of Clipped Nodes: Implementation of Targeted Axillary Dissection
Abigail S. Caudle,Wei T. Yang,Savitri Krishnamurthy,Elizabeth A. Mittendorf,Dalliah M. Black,Michael Z. Gilcrease,Isabelle Bedrosian,Brian P. Hobbs,Sarah M. DeSnyder,Rosa F. Hwang,Beatriz E. Adrada,Simona F. Shaitelman,Mariana Chavez-MacGregor,Benjamin Smith,Rosalind P. Candelaria,Gildy Babiera,Basak E. Dogan,Lumarie Santiago,Kelly K. Hunt,Henry Mark Kuerer +19 more
TL;DR: Marking nodes with biopsy-confirmed metastatic disease allows for selective removal and improves pathologic evaluation for residual nodal disease after chemotherapy, as determined in patients undergoing complete axillary lymphadenectomy.
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Use of historical control data for assessing treatment effects in clinical trials.
Kert Viele,Scott M. Berry,Beat Neuenschwander,Billy Amzal,Fang Chen,Nathan Enas,Brian P. Hobbs,Joseph G. Ibrahim,Nelson Kinnersley,Stacy Lindborg,Sandrine Micallef,Satrajit Roychoudhury,Laura Thompson +12 more
TL;DR: This manuscript reviews several methods for historical borrowing, illustrating how key parameters in each method affect borrowing behavior, and then, compares these methods on the basis of mean square error, power and type I error.
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Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials
TL;DR: This article presents several models that allow for the commensurability of the information in the historical and current data to determine how much historical information is used in hierarchical Bayesian methods for incorporating historical data that are adaptively robust to prior information that reveals itself to be inconsistent with the accumulating experimental data.
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Pembrolizumab with or without radiotherapy for metastatic non-small-cell lung cancer: a pooled analysis of two randomised trials.
Willemijn S. M. E. Theelen,Dawei Chen,Vivek Verma,Brian P. Hobbs,Heike Peulen,Joachim G.J.V. Aerts,Idris Bahce,Anna Larissa N. Niemeijer,Joe Y. Chang,Patricia M. de Groot,Quynh Nhu Nguyen,Nathan Comeaux,George R. Simon,Ferdinandos Skoulidis,Steven H. Lin,Kewen He,Roshal R. Patel,John V. Heymach,Paul Baas,James W. Welsh +19 more
TL;DR: A pooled analysis was done to infer whether radiotherapy improves responses to immunotherapy in patients with metastatic non-small-cell lung cancer, and best out-of-field (abscopal) response rate (ARR), best abscopal disease control rate (ACR), ARR at 12 weeks, progression-free survival, and overall survival.
Journal ArticleDOI
Time to initial cancer treatment in the United States and association with survival over time: An observational study.
Alok A. Khorana,Katherine Tullio,Paul Elson,Nathan A. Pennell,Stephen R. Grobmyer,Matthew F. Kalady,Daniel P. Raymond,Jame Abraham,Eric A. Klein,R. Matthew Walsh,Emily Elizabeth Monteleone,Wei Wei,Brian P. Hobbs,Brian J. Bolwell +13 more
TL;DR: TTI has lengthened significantly and is associated with absolute increased risk of mortality ranging from 1.2–3.2% per week in curative settings such as early-stage breast, lung, renal and pancreas cancers.