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| Duration: | 1 hour |
|---|---|
| Where: | Join us from anywhere! |
| Cost: | Free—but registrations are limited |
Missing values are common in many fields. If analyses do not properly account for missing values, the resulting estimates may be biased. Multiple imputation provides a flexible approach to missing data that results in valid statistical inference.
Join Meghan Cain, Senior Statistician, as she introduces concepts fundamental to missing data and multiple imputation. This webinar will demonstrate how to use Stata to create multiply imputed datasets and perform analyses that properly account for missing-data uncertainty.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start of the course with instructions on how to access the webinar.
Meghan Cain is the Assistant Director, Educational Services at StataCorp LLC. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she oversees the development of statistical trainings and webinars, creates videos for the Stata YouTube channel, and reviews Stata Press books.
