Rebecca A. Hubbard, PhD
Associate Professor of Biostatistics
Dr. Hubbard's research focuses on development and application of statistical methodology for studies that use observational data from clinical 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 health records. However the complex observation scheme that gives 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.
Read more about the work of Dr. Hubbard's research group.
Content Area Specialties
Aging, cancer epidemiology, women's health, mental health, dementia
Bayesian biostatistics, comparative effectiveness research, multi-state models