Multilevel/Longitudinal Modeling with Stata

PhD Program Sponsored Event

Chuck Huber will  introduce the concepts and jargon of multilevel modeling for nested and longitudinal data. He will also demonstrate how to fit multilevel/longitudinal models using Stata's -mixed- command, and how to visualize the results using Stata's -predict-, -twoway-, -margins-, and -marginsplot- commands. The 90 minute version of this talk includes a brief introduction to other Stata commands that can be used to fit multilevel models for binary, categorical, count, and survival data as well as multilevel structural equation models (SEMs).