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| Duration: | 1 hour |
|---|---|
| Where: | Join us from anywhere! |
| Cost: | Free—but registrations are limited |
This webinar will introduce the new customizable tables in Stata 17. You will learn how to easily create cross-tabulations, tables of summary statistics, and tables of regression results using the updated table command. You will also see how you can create customized tables after you collect results from any Stata command. This means your table can include summary statistics, results of standard hypothesis tests, regression results, and results of tests and fitted statistics obtained after model fitting. With the results collected from Stata commands, you will learn how to specify a table layout—what belongs on the rows and columns—and how to customize the look of the table. You can modify labels in headers, numerical format, text alignment, cell shading, border lines, and much more. You will also learn how to export your customized tables to Word®, Excel®, PDF, LaTeX, HTML, Markdown, SMCL, and plain text.
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 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.
