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Brian P. 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, statistical modeling of imaging biomarkers, and statistical methods for personalized treatment selection. Dr. Hobbs currently collaborates on several research projects funded by the National Cancer Institute/National Institutes of Health, including two statistical methods grants and five 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. 

Dr. Hobbs’s full curriculum vitae can be found here.

Research Interests

Bayesian inferential methods

Meta-analysis and Hierarchical modeling

Adaptive and sequential clinical trial design

Imaging biomarkers

Statistical methods for identifying personalized treatment rules

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, with high distinction


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. Hobbs BP, Thall PF, Lin SH. Bayesian group sequential clinical trial design using total toxicity burden and progression-free survival. Journal of the Royal Statistical Society: Series C. In Press. NIHMSID: NIHMS703133.
2. Murray TA, Hobbs BP, Carlin BP. Combining nonexchangeable functional or survival data sources in oncology using generalized mixture commensurate priors. Annals of Applied Statistics. In Press.
3. Wang Y, Hobbs BP, Ng C. CT perfusion characteristics identify metastatic sites in liver. BioMed Research International. In Press.
4. Rohren EM, Etchebehere EC, Araujo JC, Hobbs BP, Swanston NM, Everding M, Moody T, Macapinlac HA. Determination of skeletal tumor burden on 18F-Fluoride-PET/CT. Journal of Nuclear Medicine. In Press.
5. Murray TA, Hobbs BP, Sargent DJ, Carlin BP. Flexible Bayesian survival modeling with semiparametric time-dependent and shape-restricted covariate effects. Bayesian Analysis. In Press.
6. Hobbs BP. On nonparametric hazard estimation. Journal of Biometrics & Biostatistics. In Press.
7. Ma J, Hobbs BP, Stingo FC. Statistical methods for establishing personalized treatment rules in oncology. BioMed Research International. In Press.
8. Raghav KP, Mahajan S, Yao JC, Hobbs BP, Berry DA, Pentz RD, Tam A, Hong WK, Ellis LM, Abbruzzese J, Overman MJ. From protocols to publications: a study in selective reporting of outcomes in randomized trials in oncology. J Clin Oncol. e-Pub 8/2015. PMID: 26304898.
9. Ng CS, Hobbs BP, Wei W, Anderson EF, Herron DH, Yao JC, Chandler AG. Effect on Perfusion Values of Sampling Interval of Computed Tomographic Perfusion Acquisitions in Neuroendocrine Liver Metastases and Normal Liver. J Comput Assist Tomogr 39(3):373-82, May-Jun, 5/2015. e-Pub 1/2015. PMCID: PMC4433407.
10. Tan CH, Hobbs BP, Wei W, Kundra V. Dynamic contrast enhanced MRI for the detection of prostate cancer: meta-analysis. AJR Am J Roentgenol 204(4):W439-48, 4/2015. PMID: 25794093.
11. Wang Y, Hobbs BP, Hu J, Ng CS, Do KA. Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging. Biometrics. e-Pub 4/2015. PMID: 25851056.
12. Caudle AS, Yang WT, Mittendorf EA, Black DM, Hwang R, Hobbs B, Hunt KK, Krishnamurthy S, Kuerer HM. Selective surgical localization of axillary lymph nodes containing metastases in patients with breast cancer: a prospective feasibility trial. JAMA Surg 150(2):137-43, 2/2015. PMID: 25517573.
13. Castillo R, Pham N, Castillo E, Aso-Gonzalez S, Ansari S, Hobbs B, Palacio D, Skinner H, Guerrero TM. Pre-Radiation Therapy Fluorine 18 Fluorodeoxyglucose PET Helps Identify Patients with Esophageal Cancer at High Risk for Radiation Pneumonitis. Radiology. e-Pub 1/2015. PMID: 25584706.
14. Castillo SJ, Castillo R, Castillo E, Pan T, Ibbott G, Balter P, Hobbs B, Guerrero T. Evaluation of 4D CT acquisition methods designed to reduce artifacts. J Appl Clin Med Phys 16(2):4949, 2015. e-Pub 3/2015. PMID: 26103169.
15. Hobbs BP, Ng CS. Inferring stable acquisition durations for applications of perfusion imaging in oncology. Cancer Inform 14(invited submission):193-9, 2015. e-Pub 5/2015. PMCID: PMC4444141.
16. Ravoori MK, Nishimura M, Singh SP, Lu C, Han L, Hobbs BP, Pradeep S, Choi HJ, Bankson JA, Sood AK, Kundra V. Tumor T1 relaxation time for assessing response to bevacizumab anti-angiogenic therapy in a mouse ovarian cancer model. PLoS One 10(6):e0131095, 2015. e-Pub 6/2015. PMID: 26098849.
17. Ng CS, Chandler AG, Yao JC, Herron DH, Anderson EF, Charnsangavej C, Hobbs BP. Effect of pre-enhancement set point on computed tomographic perfusion values in normal liver and metastases to the liver from neuroendocrine tumors. J Comput Assist Tomogr 38(4):526-34, Jul-Aug, 7/2014. PMCID: PMC4101020.
18. 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 70(1):185-91, 3/2014. e-Pub 12/2013. PMCID: PMC3954409.
19. Viele K, Berry S, Neuenschwander B, Amzal B, Chen F, Enas N, Hobbs BP, 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, Jan-Feb, 1/2014. e-Pub 8/2013. PMCID: PMC3951812.
20. Castillo SJ, Castillo R, Balter P, Pan T, Ibbott G, Hobbs BP, Yuan Y, Guerrero T. Assessment of a quantitative metric for 4D CT artifact evaluation by observer consensus. J Appl Clin Med Phys 15(3):4718, 2014. e-Pub 5/2014. PMCID: PMC4048877.
21. Amini B, Madewell JE, Chuang HH, Haygood TM, Hobbs BP, Fox PS, Bassett RL, Costelloe CM. Differentiation of benign fluid collections from soft-tissue sarcomas on FDG-PET/CT. J Cancer 5(5):328-35, 2014. e-Pub 3/2014. PMCID: PMC3982179.
22. Castillo R, Pham N, Ansari S, Meshkov D, Castillo S, Li M, Olanrewaju A, Hobbs B, Castillo E, Guerrero T. Pre-radiotherapy FDG PET predicts radiation pneumonitis in lung cancer. Radiat Oncol 9:74, 2014. e-Pub 3/2014. PMCID: PMC3995607.
23. 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: PMC4228711.
24. 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. PMCID: PMC3982796.
25. 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: PMC4032413.
26. 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.
27. Hobbs BP, Sargent DJ, Carlin BP. Commensurate priors for incorporating historical information in clinical trials using general and generalized linear models. Bayesian Anal 7(3):639-674, 8/2012. PMCID: PMC4007051.
28. 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.
29. 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.
30. 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.

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: Investigation of the immunologic basis of CT imaging features in non-small cell lung cancer
Funding Source: RSNA
Role: Biostatistician
Principal Investigator: Chad Tang
Duration: 7/1/2015 - 6/30/2016
Title: Tumor mutation status will predict metabolic response to metformin in NSCLC
Funding Source: NIH/NCI
Role: Co-Investigator
Principal Investigator: Heath Skinner
Duration: 8/5/2014 - 7/31/2016
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 - 7/31/2015
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 - 5/31/2016
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 Resource Group (BRG)
Funding Source: NIH/NCI
Role: Statistician
Principal Investigator: Ronald DePinho
Duration: 9/1/1998 - 6/30/2018

Last updated: 8/27/2015