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.
Recent publications
Hubbard RA, Inoue LYT, and Diehr P. Joint modeling of self-rated health and functional status. JASA. 2009; 104(487): 873-885.
Hubbard RA, Inoue LYT, Fann JR. Modeling non-homogeneous Markov processes via time transformation. Biometrics. 2008;64(3):843-50. Epub 2007 Nov 19. PubMed
Sullivan J, Hubbard RA, Shepherd K, Trenga C, Liu L-JS, Koenig JQ, Chandler WL, Kaufman J. Effect of particulate matter on blood measures of inflammation and thrombosis in an elderly population. BMC Environmental Health. 2007;6:3.
Cagle AJ, Hubbard RA. Cold-related cardiac mortality in King County, WA, USA, 1980-2001. Ann Hum Biol. 2005;32(4):525-37.
To view more publications, please see Dr. Hubbard's CV.