Missing Data and Multiple Imputation with Chuck Huber, PhD

Professional Development Series hosted by the Department of Biostatistics

This session provides an overview of common missing data mechanisms—MCAR, MAR, and MNAR—and demonstrates how to use Stata’s mi commands to impute missing values and fit models with imputed datasets.

This event is open to NYU students, faculty and staff.