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 efficient, effective, and patient-centered.

Our current projects include research on statistical methods for mismeasured and informatively missing covariates derived form the EHR (MERMAID) and a project on phenotype estimation and analysis for pediatric type II diabetes (PEPPER) which seeks to develop novel methods for estimating and analyzing EHR-derived phenotypes. This work is conducted in conjunction with PEDSnet

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