Rebecca A Hubbard, Ph.D.

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Associate Professor of Biostatistics in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics, Epidemiology & Informatics
University of Pennsylvania School of Medicine
604 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
Office: 215-898-3311
Fax: 215-573-4865
Education:
B.S. (Ecology & Evolution, summa cum laude)
University of Pittsburgh, Pittsburgh, PA, 1999.
M.Sc. (Epidemiology)
University of Edinburgh, Edinburgh, UK, 2001.
M.Sc. (Applied Statistics, with honors)
Oxford University, Oxford, UK, 2002.
Ph.D. (Biostatistics)
University of Washington, Seattle, WA , 2007.
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Description of Research Expertise

Dr. Hubbard's research focuses on development and application of statistical methodology for studies using observational data from community medical practice. This work encompasses evaluation of screening and diagnostic test performance, methods for comparative effectiveness studies, and health services research. A wealth of data on healthcare utilization, performance, and outcomes are available from electronic medical records. However, the complex observation scheme giving rise to these data necessitates careful study design and analysis to ensure that inference is valid. Dr. Hubbard’s methodological research emphasizes development of statistical tools for such inference and has been applied to studies of cancer screening, aging and dementia, pharmacoepidemiology, women’s health, and behavioral health.

Selected Publications

Weissman GE, Hubbard RA, Kohn RA, Anesi GL, Manaker S, Prasad Kerlin M, Halpern SD: Validation of an administrative definition of ICU admission using revenue center codes. Critical Care Medicine 45(8): e758-e762, August 2017.

Hubbard RA, Johnson E, Chubak J, Wernli K, Kamineni A, Bogart T, Rutter CM: Accounting for misclassification in electronic health records-derived exposures using generalized linear finite mixture models. Health Services and Outcomes Research Methodology 17(2): 101-112, June 2017 Notes: [Epub ahead of print] doi:10.1007/s10742-016-0149-5.

Brenowitz W, Hubbard RA, Keene CD, Hawes SE, Longstreth W, Kukull W: Mixed neuropathologies and estimated rates of clinical progression in a large autopsy sample. Alzheimer’s & Dementia 13(6): 654-662, June 2017.

Brenowitz W, Keene CD, Hawes SE, Hubbard RA, Longstreth W, Woltjer RL, Crane PK, Larson EB, Kukull W: Alzheimer’s disease neuropathologic change, Lewy body disease, and vascular brain injury in clinic and community-based samples. Neurobiology of Aging 53: 83-92, May 2017.

Wernli KJ, Arao RF, Hubbard RA, Sprague B, Alford-Teaster JA, Haas JS, Henderson L, Hill D, Lee CI, Tosteson A, Onega T: Change in breast cancer screening intervals since the 2009 USPSTF guideline. Journal of Women's Health February 2017 Notes: [Epub ahead of print] doi:10.1089/jwh.2016.6076.

Ozanne EM, Weiss J, Onega T, DeMartini W, Kerlikowske K, Buist DSM, Henderson L, Hubbard RA, Goodrich M, Tosteson ANA, Virnig B, O'Donoghue C: Locoregional treatment of breast cancer in women with and without preoperative MRI. American Journal of Surgery 213(1): 132-139, January 2017.

Bittermann T, Hubbard RA, Serper M, Lewis JD, Hohmann SF, VanWagner LB, Goldberg D: The burden of healthcare utilization after liver transplantation and its relationship with pre-transplant hospitalization. Journal of Hepatology 66(1): S199, 2017.

Onega T, Weiss JE, Goodrich ME, Zhu W, DeMartini WB, Kerlikowske K, Ozanne E, Tosteson ANA, Henderson LM, Buist DSM, Wernli KJ, Herschorn SD, Hotaling E, O’Donoghue C, Hubbard RA: Relationship between preoperative breast MRI and surgical treatment of non-metastatic breast cancer. Journal of Surgical Oncology In press, 2017.

Zafar HM, Duan R, Hubbard RA, Lalevic D, Cook T: Does the probability that radiologists categorize liver and kidney masses as indeterminate for malignancy depend on the organ, the radiologist, or exam volume? Radiological Society of North America 2017.

Hubbard RA, Milton J, Zhu W, Wang L, Chubak J: Methods for time to event analyses using imperfect electronic health records-derived endpoints. Topics in Applied Statistics: 2016 Symposium of the International Chinese Statistical Association 2017.

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Last updated: 08/16/2017
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