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

Basic Details
Date
Type
Presentation
Description

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.

Materials

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

Information
Host

International Society for Pharmacoepidemiology

Related Assessment(s)
Approaches to Handling Partially Observed Confounder Data From Electronic Health Records (EHR) In Non-randomized Studies of Medication Outcomes
A Principled Approach to Characterize and Analyze Partially Observed Confounder Data from Electronic Health Records
Presenter(s)

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