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Principled Approaches to Handle Partially Observed Confounder Data from Electronic Health Records: A Plasmode Simulation Study

    Basic Details

    Electronic health records (EHR) may enhance confounding adjustment for variables usually not measured in claims data. However, these data are often only partially observed.

    This presentation investigates the performance of principled diagnostic and analytic approaches for partially observed EHR confounders in various missingness scenarios. It was presented at the 39th International Conference on Pharmacoepidemiology and Therapeutic Risk Management.


    Janick Weberpals, Sudha R. Raman, Pamela A. Shaw, Hana Lee, Bradley G. Hammill, Sengwee Toh, John G. Connolly, Kimberly J. Dandreo, Fang Tian, Wei Liu, Jie Li, José J. Hernández-Muñoz, Robert J. Glynn, Rishi J. Desai