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Abstract: Pragmatic clinical trials frequently leverage real-world data sources such as electronic health record (EHR) data to complement primary data collection. Estimation of trial event rates requires the use of survival analysis, so knowing when to expect data for trial participants is essential. We developed and implemented methods to define site-specific data censoring dates for use in trial-related statistical analyses.

Learning Objective 1: Participants will understand one method for measuring the completeness of electronic health record (EHR) data.

Authors:

Laura Qualls, Duke Clinical Research Institute
Thomas Phillips, Duke Clinical Research Institute
Jennifer White, Duke Clinical Research Institute
Mary Williams (Presenter)
Duke Clinical Research Institute

Katy Knowlin, Duke Clinical Research Institute
Holly Robertson, Duke Clinical Research Institute
Lesley Curtis, Duke University
W. Jones, Duke University
Bradley Hammill, Duke University

Presentation Materials:

Keywords