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X-WR-CALNAME;VALUE=TEXT:Statistics Colloquium Series
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SUMMARY:Statistics Colloquium Series
DESCRIPTION:<p>	Our upcoming event for the Statistics Department Colloquium Series is scheduled for this Monday, October 3rd from 12:00 – 1:00pm (ET) and will be an in-person presentation Science Center Rm. 316. The speaker will be Tianxi Cai who is a John Rock Professor of Translational Data Science at Harvard, with joint appointments in the Biostatistics Department and the Department of Biomedical Informatics.</p><p>	<strong>Title</strong>: Empowering Multi-institutional EHR for Real World Evidence: Opportunities and Challenges</p><p>	<strong>Abstract:</strong> The growing availability of electronic health records (EHR) data opens up opportunities for biomedical research that improves patient care. Generalizable knowledge can be derived from multi-institutional EHR data. <span><span>Deriving generalizable real world evidence from data</span></span> across <span><span>multiple </span></span>healthcare systems, however, is highly challenging due to the inherent heterogeneity in the coding systems, patient population, and healthcare delivery patterns. In this talk, I will discuss opportunities for learning with multi-view EHR data and methods for addressing challenges arising from heterogeneity and data-sharing constraints.</p>
LOCATION:Science Center, Room 316
STATUS:CONFIRMED
DTSTART:20221003T160000Z
DTEND:20221003T170000Z
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