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AERA 2024 Annual Meeting
Philadelphia, PA | 11–14 April 2024

StataCorp will be an exhibitor at the AERA 2024 Annual Meeting. Attending from StataCorp: Chuck Huber, Director, Statistical Outreach. We're also hosting a demo at our booth, #221. For more information about the meeting, visit the AERA 2024 Annual Meeting page.

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Stata demo

Title: Introduction to the bayes: prefix
Presenter: Chuck Huber, Director, Statistical Outreach
Date: Saturday, 13 April 2024
Time: 10:00–10:15 a.m. EDT
Location: Booth 221
Description: In this demo, Chuck will introduce the bayes: prefix, which combines Bayesian features with Stata's intuitive and elegant specification of regression models. It lets you fit Bayesian regression models more easily.

Presenter

Chuck Huber portrait

Chuck Huber is Director of Statistical Outreach at StataCorp LLC and Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health and at the New York University School of Global 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 behavioral and health 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 survey sampling at NYU and introductory biostatistics at Texas A&M, where he previously taught categorical data analysis, survey data analysis, and statistical genetics.

PDF flyers

Browse the Stata flyers below.

Introduction to Stata



Stata overview
Letter   A4

Why Stata
Letter   A4

Stata 18 highlights
Letter   A4

Stata/MP
Letter   A4  

Features



Bayesian analysis
Letter   A4

Bayesian model averaging
Letter   A4

Causal inference/Treatment effects
Letter   A4

Causal mediation analysis
Letter   A4

Choice models
Letter   A4

Clinical trials
Letter   A4

Customizable tables
Letter   A4

Data frames
Letter   A4

Difference in differences
Letter   A4

Extended regression models (ERMs)
Letter   A4

Finite mixture models (FMMs)
Letter   A4

Group sequential designs
Letter   A4

Interval-censored Cox model
Letter   A4

Item response theory (IRT)
Letter   A4

Lasso: Prediction and inference
Letter   A4

Latent class analysis (LCA)
Letter   A4

Maximum likelihood estimation
Letter   A4

Meta-analysis
Letter   A4

Multilevel mixed-effects models
Letter   A4

Multiple imputation
Letter   A4

Nonparametric regression
Letter   A4

Panel data
Letter   A4

Power, precision, and sample-size analysis
Letter   A4

PyStata
Letter   A4

Reproducible and automated reporting
Letter   A4

Reproducibility and backward compatibility
Letter   A4

Spatial autoregressivel (SAR) models
Letter   A4

Structural equation modeling (SEM)
Letter   A4

Survey data
Letter   A4

Survival analysis
Letter   A4

Time series
Letter   A4

View all Stata features.

Resources



Programming with Stata
Letter   A4

Teaching with Stata
Letter   A4

Tech support
Letter   A4

Stata Press



Author Support Program
Letter   A4

Become a Stata Press® author
Letter   A4

Visit stata-press.com for more information.

Stata Journal



Publish in the Stata Journal
Letter   A4

The Stata Journal
Letter   A4

Visit stata-journals.com for more information.

Supplementary materials