Reagan-Udall Foundation COVID-19 Evidence Accelerator: Defining COVID-19 Cohorts in Real-World Data

Project Title Reagan-Udall Foundation COVID-19 Evidence Accelerator: Defining COVID-19 Cohorts in Real-World Data
Date
Wednesday, August 19, 2020
Location
Description

This presentation was given at the Reagan-Udall Foundation and Friends of Cancer Research COVID-19 Diagnostics Evidence Accelerator Parallel Analysis meeting by Noelle Cocoros, Judith C. Maro, and Jeff Brown from Sentinel Operations Center. The presentation includes both “Defining COVID-19 cohorts in real-world data” and “Data Type Considerations in Data Networks”. In “Defining COVID-19 cohorts in real-world data,” Noelle Cocoros provides considerations for cohort identification in claims and electronic health record (EHR) data in relation to real-world data studies. In “Data Type Considerations in Data Networks,” Judith C. Maro and Jeff Brown discuss commonly used electronic data types and the impact of missingness in study protocols.

Host

Reagan-Udall Foundation and Friends of Cancer Research COVID-19 Diagnostics Evidence Accelerator Parallel Analysis Workgroup

Presenters

Noelle Cocoros, Judith C. Maro, Jeff Brown

Related Assessments
Publication Type
Presentation
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