[Online] Lessons from COVID-19: Non-random Missing Data and Its Consequences
Details
R-Ladies NYC is co-hosting a webinar with Data Umbrella!
A fundamental challenge for survey and observational datasets is that not all records in the dataset are complete; key pieces of information may be missing. This talk will work through the models and methods from the paper MODELING RACIAL/ETHNIC DIFFERENCES IN COVID-19 INCIDENCE WITH COVARIATES SUBJECT TO NON-RANDOM MISSINGNESS.
----------------------------------------
How to Join the Webinar
----------------------------------------
You can join via your browser (no app download required). Use Chrome or Firefox. Pre-register for the webinar:
https://www.bigmarker.com/neo4j/Data-Umbrella-Webinar
----------------------------------------
Video Recording
----------------------------------------
This event will be recorded and placed on Data Umbrella's YouTube. Videos are usually up within 24 hours of the event. Subscribe to their YouTube and set your notifications.
----------------------------------------
Time
----------------------------------------
9 am PT / 12 pm ET / 16::00 UTC / 7 pm EAT / 9:30 pm IST
----------------------------------------
Additional Details
----------------------------------------
Talk Level: Intermediate
Pre-reqs: Familiarity with statistical modeling, ideally survey statistics and Bayesian inference.
Prep Work:
Resources: https://github.com/rtrangucci/epi-missing-data
----------------------------------------
Connect with Data Umbrella
----------------------------------------
We invite you to follow Data Umbrella on their social networking sites to keep up to date on the latest news they will be sharing.