Rebecca Hubbard, PhD
Assistant Investigator
206-287-2066
hubbard.r@ghc.org
Recent publications
Curriculum vitae (CV)
Research interests and experience
- Biostatistics: methods for multistate disease processes; hierarchical models; Bayesian methods; developing methods for longitudinal studies
- Cancer control: biostatistics; breast cancer
- Aging & geriatrics: biostatistics; Alzheimer's disease
- Health services & economics: biostatistics; evaluation of interventions and screening programs; health outcomes and cost research
Rebecca Hubbard's research aims to provide a clearer picture of the link between changes in disease over time and how people feel about their health. Her dynamic approach combines subjective and objective health outcomes to develop new longitudinal models for multistate disease progression.
Dr. Hubbard joined Group Health Research Institute (GHRI) in 2008 after completing a postdoctoral fellowship in biostatistics at the National Alzheimer's Coordinating Center, where her work emphasized joint modeling of multiple outcomes such as disease progression and quality of life. More recently, she and University of Washington colleagues examined whether subjective health perceptions are associated with the rate of change of functional ability level; they developed a new model for evaluating how disease trajectories affect self-rated health.
Dr. Hubbard's work at GHRI includes a Breast Cancer Surveillance Consortium project using data from mammography registries and Medicare utilization to examine the relationship between screening mammography regimens and resource utilization. She is also interested in using statistical decision theory to evaluate interventions and screening programs and to combine subjective assessments of health outcomes with cost and other objective outcomes. One future goal is to improve on existing methods for combining longitudinal utility measures to account better for temporal patterns in disease progression and recovery when assessing the overall utility of a health trajectory.
Among Dr. Hubbard's other statistical interests are hierarchical models, Bayesian methods, and multistate models including Markov processes. Her other areas of application include medical decision making, behavioral sciences, and quality of life. Dr. Hubbard serves as a journal referee and belongs to professional organizations including the International Biometric Society and the American Statistical Association (ASA). In 2008, the ASA's biometrics section gave her the David P. Byar Young Investigator Award. Dr. Hubbard also has a master's degree in epidemiology and serves as an affiliate assistant professor in biostatistics at the University of Washington.
Related information:
- National Alzheimer's Coordinating Center
- Breast Cancer Surveillance Consortium
- International Biometric Society
- American Statistical Association
Recent publications
Fishman PA, Ding V, Hubbard R, Ludman EJ, Pabiniak C, Stewart C, Morales L, Simon GE. Impact of deductibles on initiation and continuation of psychotherapy for treatment of depression. Health Serv Res. 2012 Feb 29. doi: 10.1111/j.1475-6773.2012.01388.x. [Epub ahead of print]. PubMed
Grossman D, Fishman P, Beck A, Reid R, Ritzwoller D, Martin D, Henrikson N, Hubbard R, Scrol A. Quasi-experimental evaluation of a value-based health plan design among healthcare employees. Clin Med Res. 2011;9(3-4):173-4.
Kerlikowske K, Hubbard RA, Miglioretti DL, Geller BM, Yankaskas BC, Lehman CD, Taplin SH, Sickles EA. Comparative effectiveness of digital versus film-screen mammography in community practice in the United States: a cohort study. Ann Intern Med. 2011;155(8):493-502. PubMed
Hubbard RA, Kerlikowske K, Flowers CI, Yankaskas BC, Zhu W, Miglioretti DL. Cumulative probability of false-positive recall or biopsy recommendation after 10 years of screening mammography: a cohort study. Ann Intern Med. 2011;155(8):481-92. PubMed
Hubbard R, Kerlikowske K, Buist D, Yankaskas B. Evaluation of breast cancer screening strategies must be based on comparison of harms and benefits. AJR Am J Roentgenol. 2011;197(4):W793. PubMed
Hubbard RA, Zhou XH A comparison of non-homogeneous Markov regression models with application to Alzheimer's disease progression J Appl Stat. 38(10): 2313-26.
Scholes D, Hubbard R, Ichikawa LE, LaCroix AZ, Spangler L, Beasley JM, Reed S, Ott SM. Oral contraceptive use and bone density change in adolescent and young adult women: a prospective study of age, hormone dose, and discontinuation. J Clin Endocrinol Metab. 2011 Sep;96(9):E1380-7. Epub 2011 Jul 13. PubMed
Simon GE, Ding V, Hubbard R, Fishman P, Ludman E, Morales L, Operskalski B, Savarino J. Early dropout from psychotherapy for depression with group- and network-model therapists. Adm Policy Ment Health. 2011 Jun 28. [Epub ahead of print]. PubMed
Hubbard RA. Response from the author. Stat Methods Med Res. 2011 Jun;20(3):293-5.
Fann JR, Hubbard RA, Alfano C, Roth-Roemer S, Katon WJ, and Syrjala KL. Pre- and post-transplantation risk factors for delirium onset and severity in patients undergoing hematopoietic stem cell transplantation. J Clin Oncol 2011 Mar 1;29(7):895-901. Epub 2011 Jan 24. PubMed
To view more publications, please see Dr. Hubbard's CV.