|Project Title||Distributed Regression Analysis: Utilizing Data from Various Data Partners in a Distributed Manner|
Friday, December 14, 2018
This project focused on developing a stable, feasible approach to enable secure distributed linear, logistic, and Cox regression analysis within a distributed data network while not requiring sharing of any patient-level datasets from the participating data partners. Distributed regression analysis (DRA) enables data partners to maintain control of patient-level data while generating valid regression estimates across the network.
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Darren Toh, ScD; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
Michael Nguyen, MD; Office of Surveillance and Epidemiology, Center for Drug and Evaluation Research, U.S. Food and Drug Administration, Silver Spring, MD
Qoua Her, PharmD; Jessica Malenfant, MPH; Yury Vilk, PhD; Jessica Young, PhD; Zilu Zhang, MSc; Sarah Malek, MPPA; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA