GradQuant welcomes Dr. Chuck Huber, a Senior Statistician from Stata, to present a day-long workshop on the Stata data analysis and statistical software. No previous experience with Stata is required for this workshop; beginners and advanced users are welcome!

Date: Wednesday, February 21, 2018

Time: 9:10 AM – 4:00 PM

Location: LFSC 1425

*Pizza will be served. 

Speaker Bio

Chuck 11

Dr. Chuck Huber is a Senior Statistician at StataCorp and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health. In addition to working with Stata’s team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by psychologists and other behavioral scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects.

Dr. Huber currently teaches introductory biostatistics at Texas A&M where he previously taught categorical data analysis, survey data analysis, and statistical genetics.

Workshop agenda

Introduction to Stata (9:10 – 10:10 AM)
In this talk, Dr. Huber will introduce the Stata interface, the data editor, the do-file editor, the menus, the dialog boxes, the help files, and the pdf documentation.

Introduction to Bayesian Statistics Using Stata (10:20 – 11:20 AM)
Bayesian analysis has become a popular tool for many statistical applications. Yet many data analysts have little training in the theory of Bayesian analysis and software used to fit Bayesian models. This talk will provide an intuitive introduction to the concepts of Bayesian analysis and demonstrate how to fit Bayesian models using Stata. No prior knowledge of Bayesian analysis is necessary, and specific topics will include the relationship between likelihood functions, prior, and posterior distributions, Markov Chain Monte Carlo (MCMC) using the Metropolis-Hastings algorithm, and how to use Stata’s Bayes prefix to fit Bayesian models.

Multilevel/Longitudinal Modeling (11:30 AM – 1 PM)
In this talk, Dr. Huber will introduce the concepts and jargon of multilevel modeling for nested and longitudinal data. He will 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. This talk will also include 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).

Lunch (1 – 2 PM)

Structural Equation Modeling (2 – 4 PM)
In this talk, Dr. Huber will introduce the concepts and jargon of structural equation modeling (SEM) including path diagrams, latent variables, endogenous and exogenous variables, and goodness of fit. He will describe the similarities and differences between Stata’s -sem- and -gsem- commands. Then he will demonstrate how to fit many familiar models such as linear regression, multivariate regression, logistic regression, confirmatory factor analysis, and multilevel models using -sem- and -gsem-. He will wrap up by demonstrating how to fit structural equation models that contain both structural and measurement components.

Space is limited. Please register by following the link below.


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