معرفی
Dr. Rebecca Hubbard is the Carl Kawaja and Wendy Holcombe Professor of Public Health and Professor of Biostatistics and Data Science at Brown University's School of Public Health. Her research focuses on developing and applying statistical methods for real-world data (RWD) such as electronic health records (EHR) and medical claims to improve validity and equity in health research. Her lab, REGARDS, addresses challenges like measurement error, missing data, and data integration in EHR-based studies.
Education: PhD in Biostatistics from University of Washington (2007), MSc in Applied Statistics (Oxford), MSc in Epidemiology (Edinburgh), BS in Ecology & Evolution (Pittsburgh).
Research Interests: Methodology for analyzing messy RWD, integrating EHR with neuroimaging (GARDENIA), latent phenotype estimation in pediatrics (PEPPER), and addressing biases in EHR-derived confounders (MERMAID). Collaborations span neurology, oncology, and radiology with institutions like University of Pennsylvania and Kaiser Permanente.
Awards: Fellow of the American Statistical Association. Editorial roles include Co-Editor of Biostatistics and statistical editor for New England Journal of Medicine.
Labs/Teams: Leads the REGARDS Lab, supervising students like Melanie Mayer (postdoc), Mengyue Liu (MS), Jina Yang (PhD), and Tiffany Hsieh (PhD). Active in grants including NIH- and PCORI-funded projects. Her work bridges statistical innovation with clinical applications to enhance evidence generation.
