|Where:||Join us from anywhere!|
|Cost:||Free—but registrations are limited|
Join us for an introduction to writing your own estimation command in Stata. This webinar builds on the previous webinar, How to create basic Stata commands, and focuses on commands for model fitting.
We will first show you how to create a command to convert Stata variables to matrices, how to use matrix calculations to to fit models, and how to display the results in standard Stata output. Then, you will see how you can use ml to maximize likelihood functions. Learn how common features of Stata estimation commands are automatically available. We also demonstrate how you can easily adapt your commands to account for complex survey data.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start with instructions on how to access 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.