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| Duration: | 1 hour |
|---|---|
| Where: | Join us from anywhere! |
| Cost: | Free—but registrations are limited |
Join us for an intuitive introduction to Bayesian analysis and a demonstration of how easily you can fit Bayesian regression models in Stata via the bayes prefix. We will give an overview of Bayesian concepts such as posterior distributions and their simulation. We will then demonstrate how to perform Bayesian regressions and interpret their results. Learn how you can specify priors, compare models, check convergence, and perform interval hypothesis testing.
Learn more about Bayesian analysis.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email with instructions on how to join prior to the start of the webinar.
Chuck Huber is Director of Statistical Outreach at StataCorp 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.
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