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Brian Hobbs, PhD

Present Title & Affiliation

Primary Appointment

Assistant Professor, Department of Biostatistics, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX

Bio Statement

Brian P. Hobbs, Ph.D., holds the academic appointment of Assistant Professor in the Department of Biostatistics at the University of Texas MD Anderson Cancer Center in Houston, Texas. His methodological expertise covers Bayesian inferential methods, hierarchical modeling, utility-based inference, adaptive trial design in the presence of historical controls, sequential design in the presence of co-primary endpoints, and statistical modeling of functional imaging data. Dr. Hobbs currently collaborates on several research projects funded by the National Cancer Institute/National Institutes of Health, including two statistical methods grants and four imaging-related research projects in which he participates as a co-investigator.

A few examples of his applied work in radiology include: statistical modeling for identification of prognostic imaging biomarkers for predicting radiation toxicity from pre-treatment metabolic features obtained on FDG PET in patients with thoracic tumors, statistical models for surrogate outcomes derived from pulmonary metabolic activity in response to radiation therapy on FDG PET, quantitative methods for 4D CT artifact detection, and functional statistical modeling of correlated biomarkers derived from perfusion computed tomography to compare acquisition strategies and differentiate metastases to the liver from normal tissue.

Methods from several of Dr. Hobbs’s publications have been translated into user-friendly software ( providing tools for data analysis, design, and conduct of adaptive trials in the presence of partially informative historical data. In addition, he is the co-author of a book chapter, Adaptive Trial Designs, which appeared in the third edition of the Handbook of Statistics in Clinical Oncology, edited by J. Crowley, A. Hoering, and D.P. Ankerst, and published by Chapman and Hall/CRC Press in 2011.

Dr. Hobbs completed his undergraduate education at the University of Iowa. As a graduate student at the University of Minnesota, he completed an internship in biostatistics at the Mayo Clinic in Rochester, Minnesota. Thereafter, he obtained a master’s and doctoral degree in biostatistics at the University of Minnesota in Minneapolis. The International Biometric Society, ENAR, recognized his work, bestowing on him the John Van Ryzin Award of 2010 for best paper submitted to the Eastern North American Region (ENAR) distinguished student paper award competition. Dr. Hobbs completed a postdoctoral fellowship in the Department of Biostatistics at MD Anderson Cancer Center before joining the faculty in 2011. 

Research Interests

Bayesian inferential methods

Hierarchical modeling

Utility-based inference

Adaptive and sequential trial design

Functional imaging

Education & Training

Degree-Granting Education

2010 University of Minnesota, Minneapolis, MN, PHD, Biostatistics
2007 University of Minnesota, Minneapolis, MN, MS, Biostatistics
2004 University of Iowa, Iowa City, IA, BA, Anthropology
2004 University of Iowa, Iowa City, IA, Minor, Computer Science


Academic Appointments

Postdoctoral Fellow, Department of Biostatistics, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, 9/2010-9/2011

Selected Publications

Peer-Reviewed Original Research Articles

1. Castillo S, Castillo R, Balter P, Pan T, Ibbott G, Hobbs B, Yuan Y, Guerrero T. Assessment of a quantitative metric for 4D CT artifact evaluation by observer consensus. Journal of Applied Clinical Medical Physics. In Press. NIHMSID: NIHMS567520.
2. Amini B, Madewell J, Chuang H, Haygood T, Hobbs B, Fox P, Bassett R, Costelloe C. Differentiation of benign fluid collections from soft-tissue sarcomas on FDG-PET/CT. Journal of Cancer. In Press.
3. Tan CH, Hobbs BP, Wei W, Kundra V. Dynamic contrast enhanced MRI for the detection of prostate cancer: meta-analysis. American Journal of Roentgenology. In Press.
4. Ng CS, Chandler AG, Yao J, Herron DH, Anderson EF, Charnsangavej C, Hobbs BP. Effect of pre-enhancement set-point on CT perfusion values in normal liver and metastases to the liver from neuroendocrine tumors. Journal of Computer Assisted Tomography. In Press. NIHMSID: NIHMS568471.
5. Caudle A, Yang W, Mittendorf E, Black D, Hwang R, Hobbs B, Hunt K, Krishnamurthy S, Kuerer H. Feasibility trial for selective surgical localization of axillary lymph nodes containing metastases in breast cancer patients. JAMA Surgery. In Press.
6. Pham N, Castillo R, Castillo E, Gonzalez SA, Ansari S, Hobbs B, Skinner H, Guerrero T. Pre-Radiotherapy FDG PET predicts radiation pneumonitis in esophageal cancer. Radiology. In Press.
7. Castillo R, Pham N, Ansari S, Meshkov D, Castillo SJ, Li M, Olanrewaju AM, Hobbs BP, Castillo E, Guerrero T. Pre-radiotherapy FDG PET predicts radiation pneumonitis in lung cancer. Radiation Oncology. In Press.
8. Viele K, Berry S, Neuenschwander B, Amzal B, Chen F, Enas N, Hobbs B, Ibrahim JG, Kinnersley N, Lindborg S, Micallef S, Roychoudhury S, Thompson L. Use of historical control data for assessing treatment effects in clinical trials. Pharm Stat 13(1):41-54, 1/2014. e-Pub 8/2013. NIHMSID: NIHMS567529.
9. Ng CS, Hobbs BP, Chandler AG, Anderson EF, Herron DH, Charnsangavej C, Yao J. Metastases to the liver from neuroendocrine tumors: Effect of duration of scan acquisition on CT perfusion values. Radiology 269(3):758-67, 12/2013. e-Pub 10/2013. PMCID: PMCPMC Journal - In Process.
10. Murray TA, Hobbs BP, Lystig TC, Carlin BP. Semiparametric Bayesian commensurate survival model for post-market medical device surveillance with non-exchangeable historical data. Biometrics. e-Pub 12/2013. PMCID: PMCPMC Journal - In Process.
11. Rauch GM, Kuerer HM, Scoggins ME, Fox PS, Benveniste AP, Park YM, Lari SA, Hobbs BP, Adrada BE, Krishnamurthy S, Yang WT. Clinicopathologic, mammographic, and sonographic features in 1187 patients with pure ductal carcinoma in situ of the breast by estrogen receptor status. Breast Cancer Res Treat 139(3):639-47, 6/2013. e-Pub 6/2013. NIHMSID: NIHMS565371.
12. Nute JL, Rong J, Stevens DM, Darensbourg BJ, Cheng J, Wei W, Hobbs BP, Cody DD. Evaluation of over 100 scanner-years of computed tomography daily quality control data. Med Phys 40(5):051908-1 - 051908-11, 5/2013. PMCID: PMCPMC Journal - In Process.
13. Hobbs BP, Carlin BP, Sargent DJ. Adaptive adjustment of the randomization ratio using historical control data. Clin Trials 10(3):430-40, 2013. PMCID: PMC3856641.
14. Hobbs BP, Sargent DJ, Carlin BP. Commensurate priors for incorporating historical information in clinical trials using general and generalized linear models. Bayesian Analysis 7(3):639-674, 2012. NIHMSID: NIHMS567523.
15. Schellingerhout D, LeRoux LG, Hobbs BP, Bredow S. Impairment of retrograde neuronal transport in oxaliplatin-induced neuropathy demonstrated by molecular imaging. PLoS One 7(9):e45776, 2012. e-Pub 9/2012. PMCID: PMC3447809.
16. Hobbs BP, Carlin BP, Mandrekar SJ, Sargent DJ. Hierarchical commensurate and power prior models for adaptive incorporation of historical information in clinical trials. Biometrics 67(3):1047-56, 9/2011. e-Pub 3/2011. PMCID: PMC3134568.
17. Hobbs BP, Carlin BP. Practical Bayesian design and analysis for drug and device clinical trials. J Biopharm Stat 18(1):54-80, 2008. PMID: 18161542.
18. Hobbs BP, Thall PF, Lin SH. Bayesian group sequential clinical trial design using total toxicity burden and progression-free survival. Submitted.
19. Murray TA, Hobbs BP, Sargent DJ, Carlin BP. Flexible Bayesian survival modeling with nonparametric time-dependent and shape-restricted covariate effects. Submitted.
20. Murray TA, Hobbs BP, Carlin BP. Generalized mixture commensurate priors for combining nonexchangeable functional data sources with applications in oncology. Submitted.
21. Wang Y, Hobbs BP, Hu J, Ng C, Do KA. Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging. Submitted.


1. Pham N, Castillo R, Fox P, Castillo E, Ansari S, Castillo E, Hobbs B, Guerrero T. Higher doses to smaller volumes explain higher proton therapy radiation pneumonitis rates found. American Society for Radiation Oncology, 2014.
2. Caudle AS, Yang W, Krishnamurthy S, Hobbs BP, Mittendorf EA, Black D, Hwang R, Hunt KK, Kuerer HM. Targeted axillary dissection for node positive breast cancer: a feasibility trial for selective resection of axillary lymph node metastases. Society of Surgical Oncologists, 2014.
3. Meshkov D, Castillo R, Castillo E, Fuentes D, Pham N, Li M, Olanrewaju A, Pollard J, Hobbs B, Guerrero T. Clinical symptoms of radiation pneumonitis correlate with pulmonary metabolic radiation dose-response in lung cancer patients. NCI Joint Workshop: Technology for Innovation in Radiation Oncology, 2013.
4. Bathala T, Rauch GM, Bass M, Borst D, Hobbs B, Bedi DG. Diagnostic performance of conventional ultrasonography combined with US Strain Elastography for differentiation between benign and malignant subcutaneous soft tissue mass lesions. Radiological Society of North America(#13020161), 2013.
5. Rauch GM, Hobbs B, Kuerer HM, Scoggins ME, Lari S, Yang WT, Benveniste AP, Park YM, Adrada B, Fox P, Krishnamurthy S. Microcalcifications in 1,658 patients with pure ductal carcinoma in situ of the breast: imaging findings with clinical, histopathologic and biologic correlation. Radiological Society of North America(13020375), 2013.
6. Meshkov D, Castillo R, Castillo E, Li M, Pham N, Pollard J, Fuentes D, Olanrewaju A, Hobbs B, Guerrero T. Pre-radiotherapy FDG PET predicts radiation pneumonitis in non-small cell lung cancer patients. Society of Nuclear Medicine and Molecular Imaging, 2013.
7. MacLellan C, Hobbs BP, Chasen B, Murthy R, Mahvash A, Kappadath SC. Absorbed dose differences in 90Y microsphere therapy between pre-treatment 99m Tc-MAA and post-treatment 90Y scans. Journal of Nuclear Medicine 53 (Supplement 1):1494, 2012.
8. MacLellan C, Hobbs BP, Chasen B, Mahvash A, Murthy R, Kappadath SC. Absorbed dose differences in 90Y microsphere therapy between pre-treatment 99mTc-MAA and post-treatment 90Y scans. Australian and New Zealand Society of Nuclear Medicine, 2012.
9. Martaindale S, Hobbs BP, Yang WT, Albarez R, Krishnamurthy S, Le-Petross HC. Assessment of residual disease using mammography (MG), sonography (US), and magnetic resonance imaging (MRI) in patients (pts) with inflammatory breast cancer (IBC) who received neoadjuvant chemotherapy (NAC). Radiological Society of North America (#LL-BRS-SU5A), 2012.
10. Rauch GM, Kuerer HM, Scoggins ME, Benveniste AP, Fox PS, Yang WT, Park YM, Lari SA, Hobbs BP, Krishnamurthy S,. Biologic subtype and imaging correlates of 1,187 patients with pure ductal carcinoma in situ of the breast. Radiological Society of North America (#SSM02-04), 2012.

Book Chapters

1. Hobbs BP, Lee JJ. Adaptive Trial Designs. In: Handbook of Statistics in Clinical Oncology, 3rd. Ed(s) Crowley J, Hoering A, Ankerst DP. Chapman and Hall/CRC Press: Boca Raton, FL, 2012. ISBN: 978-1439862001.

Grant & Contract Support

Title: A New Radiopharmaceutical for the Treatment of Metastatic Bone Cancer
Funding Source: NIH/NCI (Subcontract from Iso Therapeutics Group, LLC)
Role: Co-Investigator
Principal Investigator: Jim Simon
Duration: 8/1/2013 - 6/30/2015
Title: Statistical Methods for Complex Cancer Trials
Funding Source: NIH/NCI
Role: Co-Investigator
Principal Investigator: Peter Thall
Duration: 7/1/2013 - 4/30/2018
Title: Statistical Methods and Software for More Efficient, Ethical, and Affordable Clinical Trials
Funding Source: NIH/NCI (Subcontract from the University of Minnesota)
Role: Principal Investigator (subcontract)
Principal Investigator: Brad Carlin
Duration: 6/1/2012 - 5/31/2015
Title: Multimode laser optoacoustic tomography system for breast cancer care
Funding Source: NIH/NCI (Subcontract from TomoWaves Laboratory)
Role: Co-Investigator
Principal Investigator: Alexander Oraevsky
Duration: 5/1/2012 - 3/31/2017
Title: Personalizing Nanoparticle Therapy
Funding Source: NIH/NCI
Role: Collaborator
Principal Investigator: Vikas Kundra
Duration: 3/1/2011 - 2/29/2016
Title: Spatially Accurate Deformable Image Registration for Thoracic CT Applications
Funding Source: NIH/NIGMS
Role: Co-Investigator
Principal Investigator: Thomas Guerrero
Duration: 9/30/2010 - 6/30/2015
Title: Cancer Center Support Grant - Biostatistics Shared Resource (Biostatistics Resource Group)
Funding Source: NIH/NCI
Role: Statistician
Principal Investigator: Ronald DePinho
Duration: 9/4/1998 - 6/30/2018

Last updated: 6/24/2014