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SUMMARY:BSU Seminar: “Using Electronic Health Records for Scientific Res
 earch: Promises and Perils” - Professor Bhramar Mukherjee\, John D. Kalb
 fleisch Collegiate Professor of Biostatistics\, University of Michigan
DTSTART:20221122T140000Z
DTEND:20221122T150000Z
UID:TALK185249@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Electronic Health Records (EHR) linked with other auxiliary da
 ta sources hold tremendous potential for conducting real time actionable r
 esearch. However\, one has to answer two fundamental questions before cond
 ucting inference: “Who is in my study?” and “What is the target popu
 lation of Inference?”.  Without accounting for selection bias\, one can 
 quickly produce rapid but inaccurate conclusions. In this talk\, I will di
 scuss a statistical framework for jointly considering selection bias and p
 henotype misclassification in analyzing EHR data. Examples will include ge
 nome and phenome-wide association studies of Cancer and COVID-19 outcomes 
 using data from the Michigan Genomics initiative and the UK Biobank. This 
 is joint work with Lars Fritsche\, Lauren Beesley and Maxwell Salvatore at
  the University of Michigan School of Public Health.
LOCATION:Large Seminar Room\, East Forvie Building\, Forvie Site\, Robinso
 n Way\, Cambridge CB2 0SR
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