We are a group of researchers in the Department of Biostatistics, Epidemiology & Informatics who are focused 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 project on phenotype estimation and analysis for pediatric type II diabetes (PEPPER) has been funded by the Patient Centered Outcomes Research Institute (PCORI) and seeks to identify children with type II diabetes based on information available in their EHR. This work is conducted in conjunction with PEDSnet

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