University of Cambridge > Talks.cam > HDR UK Cambridge Seminar Series > Analysis of Genetics linked EHR data: Understanding Selection Bias and Phenotyping Error

Analysis of Genetics linked EHR data: Understanding Selection Bias and Phenotyping Error

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https://www.eventbrite.co.uk/e/hdr-uk-cambridge-seminar-series-tickets-472882382937

“In this talk I will share a decade of experience and excitement of being involved with the Michigan Genomics Initiative, a longitudinal biorepository at the University of Michigan Health System, containing administrative healthcare data linked with genetic markers and many other external data sources on nearly 100,000 participants. This is a rich dataset with large p and large n. However, a perioperative recruitment strategy induces selection bias in the analytic sample. In addition, we have an incomplete capture of disease history leading to phenotype misclassification. I will present strategies to understand and reduce bias when these two sources are at play. Examples from COVID -19 and Cancer will be used to illustrate that foundational principles of study design and sampling are critical to turn big data into reliable knowledge.”

This talk is part of the HDR UK Cambridge Seminar Series series.

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