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CAIR 2022 Annual Conference
La Jolla, CA | 16–18 November 2022

StataCorp will be a sponsor and exhibitor at the CAIR 2022 Annual Conference. Attending from StataCorp: Chuck Huber, Director of Statistical Outreach. We will also be hosting a workshop. For more information about the meeting, visit the CAIR 2022 Annual Conference page.

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Stata workshop

Title: Automated reporting using Stata
Presenter: Chuck Huber, Director of Statistical Outreach, StataCorp
Date: Wednesday, 16 November 2022
Time: 3:00–4:30 p.m. PT
Description:

This talk will demonstrate how to create automated reports using Stata's putdocx command along with the new table and collect commands in Stata 17. You will learn how to create Microsoft Word documents that include text, tables, and graphs. You will learn how to customize the font, size, color, and alignment of the text and how to specify different text based on the results of your data analysis. You will also learn how to create cross-tabulations, tables of summary statistics, and tables of regression results using the updated table and collect 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. Then you will also learn how to export your customized tables to Word.

Chuck Huber

Chuck Huber portrait

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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Introduction to Stata



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Why Stata
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Clinical trials
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Data frames
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Difference in differences
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Extended regression models (ERMs)
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Finite mixture models (FMMs)
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Interval-censored Cox model
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Item response theory (IRT)
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Lasso: Prediction and inference
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Maximum likelihood estimation
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Meta-analysis
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Multiple imputation
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Multilevel mixed-effects models
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Nonparametric regression
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Panel data
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Power, precision, and sample-size analysis
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PyStata
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Reproducible and automated reporting
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Time series
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