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“Selection bias and missing data in COVID-19 population studies” Working Group – Introductory Session
April 28 @ 1:30 pm - 2:30 pm
We invite you to our research working group meetings on the selection bias and missing data in COVID-19 population studies. There are numerous challenges associated with interpreting and analyzing COVID-19 data on cases, infections, testing, mortality and many other aspects. Major issues for which data science methodology can address the challenges are in non-representative samples, selection bias and missing data. At each meeting, a small group of faculty will present current research, lay out the challenges, and lead the discussion with audience participation. We hope these discussions will improve projects that are ongoing or being planned, and provide a platform for collaboration.
There will be three meetings and you are welcome to join one or more:
Tuesday, April 28, 1:30 to 2:30 pm, introductory session
Wednesday, April 29, 4 to 5 pm, introductory session
Thursday, April 30, noon to 1 pm, planning for next steps
All meetings use the same Zoom link: https://umich.zoom.us/j/94071913067
Moderator: Jeremy Taylor (Biostatistics)
Panelists: Rod Little (Biostatistics), Trivellore Raghunathan (Biostatistics and ISR), Pamela Davis-Kean (ISR and Psychology)
Please RSVP to receive further notifications and to help us better prepare the meetings.