Dr. Rebecca Hubbard's lab housed in the Department of Biostatistics, Epidemiology & Informatics at the University of Pennsylvania Perelman School of Medicine focuses on the development, application, and evaluation of statistical methods for the analysis of data derived from electronic health records (EHR). Our objective is to develop new approaches to the design and analysis of studies using EHR data to help make research on health and health care more valid, efficient, and patient-centered.

Our current projects include research on statistical methods for mismeasured and informatively missing covariates derived form the EHR (MERMAID), linking complex EHR data including structured data and neuroimaging with prospectively collected longitudinal cohort data (GARDENIA), and phenotype estimation and analysis for pediatric type II diabetes (PEPPER) which seeks to develop novel methods for estimating and analyzing EHR-derived phenotypes. We collaborate with a wide variety of clinical and epidemiological researchers including investigators in oncology, cardiology, and neurology at Penn as well as collaborators at the Children's Hospital of Philadelphia and Kaiser Permanente Washington Health Research Institute.

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