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
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

Chen Y, Wang J, Chubak J, Hubbard RA: Inflation of type I error rates due to differential misclassification in EHR-derived outcomes: Empirical illustration using breast cancer recurrence. Pharmacoepidemiology & Drug Safety 28(2): 264-268, February 2019.

Demissei BG, Finkelman B, Hubbard RA, Smith AM, Narayan HK, Narayan V, Shah P, Waxman AJ, Domchek SM, Ky B : Cardiovascular function phenotypes in response to cardiotoxic breast cancer therapy. Journal of the American College of Cardiology 73(2): 246-249, February 2019.

Hubbard RA, Huang J, Harton J, Oganisian A, Choi G, Utidjian L, Eneli I, Bailey LC, Chen Y: A Bayesian latent class approach for EHR-based phenotyping. Statistics in Medicine 38: 74-87, January 2019.

Demissei BG, Finkelman B, Hubbard RA, Zhang L, Smith AM, Sheline K, McDonald C, Narayan HK, Narayan V, Waxman AJ, Domchek SM, DeMichele A, Shah P, Clark AS, Bradbury A, Carver JR, Upshaw J, Armenian SH, Liu P, Ky B: Detailed phenotyping reveals distinct trajectories of cardiovascular function and symptoms with exposure to modern breast cancer therapy. Cancer In press, 2019.

Noe MH, Rosenbach M, Hubbard RA, Cardones ARG, Chen JK, Cotliar J, Davis MDP, Dominguez A, Fox LP, Hughey LC, Kaffenberger BH, Kroshinsky D, Kwong BY, Miller DD, Mostaghimi A, Musiek A, Ortega Loayza AG, Sharon VR, Shinkai K, Summers EM, Wanat KA, Wetter DA, Worswick S, Margolis DJ, Gelfand JM, Micheletti RG: Development and validation of a risk prediction model for in-hospital mortality among patients with Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis— ABCD-10. JAMA Dermatology In press, 2019.

Greenblatt R, Zhao E, Henrickson S, Apter A, Hubbard RA, Himes BE: Factors associated with exacerbations among adults with asthma according to EHR data. Asthma Research and Practice In press, 2019.

Pocobelli G, Yu O, Ziebell RA, Bowles EJA, Fujii MM, Sterret AT, Boggs JM, Chen L, Boudreau DM, Ritzwoller DP, Hubbard RA, Chubak JC: Use of antidepressants after colon cancer diagnosis and risk of recurrence. Psycho-Oncology In press, 2019.

Kenyon C, Maltenfort M, Hubbard R, Schinasi L, De Roos A, Henrickson S, Forrest C: Practice variability in asthma diagnosis in young children in a large pediatric primary care network. Pediatric Academic Societies 2019.

Chubak J, Yu O, Ziebell R, Aiello Bowles EJ, Sterrett A, Fujii MM, Boggs J, Burnett-Hartman A, Boudreau DM, Chen L, Floyd J, Ritzwoller DP, Hubbard RA: Risk of colon cancer recurrence in relation to diabetes. Cancer, Causes & Control 29: 1093-1103, September 2018.

Henderson LM, Hubbard RA, Zhu W, Weiss J, Wernli K, Goodrich M, Kerlikowske K, DeMartini W, Ozanne E, Onega T: Pre-operative breast magnetic resonance imaging use by breast density and family history of breast cancer. Journal of Women’s Health 27(8): 987-993, August 2018.

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Last updated: 03/23/2019
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