Free
1 Hour
Online
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.
This webinar introduces concepts fundamental to missing data and multiple imputation. We will demonstrate how to perform multiple imputation in Stata using the mi suite of commands, from data set up and choosing an appropriate multiple imputation model to performing analyses that properly account for missing-data uncertainty.
Meghan Cain
Assistant Director, Educational Services
Meghan Cain is the Assistant Director of 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.
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 with instructions on how to access the webinar.
