Using Electronic Health Records and PWAS for COVID-19 Research
Details
The Amherst College Statistics and Data Science Colloquium (part of the Connecticut Valley Colloquium) is proud to present our Fall 2021 speaker:
Bhramar Mukherjee
John D Kalbfleisch Collegiate Professor of Biostatistics and Chair of Biostatistics, Professor of Epidemiology, Professor of Global Public Health, School of Public Health, University of Michigan
Thursday, October 28th, 4:00pm ET (Zoom webinar, virtual talk: advance registration required)
To register for this webinar: https://bit.ly/3kGx9Bs
NOTE THAT SIGNUP UP ON THE MEETUP WON'T REGISTER YOU!
Using Electronic Health Records and Phenome-wide Association Studies for COVID-19 Research
Abstract: Electronic Health Records linked with other auxiliary data sources hold tremendous potential for conducting real time actionable research. However, one has to answer two fundamental questions before conducting inference: "Who is in my study?" and "What is the target population of Inference?". Without accounting for selection bias one can quickly produce fast but inaccurate conclusions. In this talk, I will discuss large-scale association studies across multiple phenotypes, namely Phenome-wide association studies (PheWAS) that have gained traction in the genetics and medical informatics world. I will present several applications of this tool in genetics, cancer and for identifying risk factors for COVID-19 hospitalization and mortality. I will further discuss a statistical framework for jointly considering selection bias and phenotype misclassification in such analyses.
This is joint work with Lars Fritsche, Lauren Beesley and Maxwell Salvatore at the University of Michigan School of Public Health.
Sign up in advance at: https://bit.ly/3kGx9Bs
NOTE THAT SIGNUP UP ON THE MEETUP WON'T REGISTER YOU!