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APHA 2022 Annual Meeting
Boston, MA | 6–9 November 2022

StataCorp will be an exhibitor at the APHA 2022 Annual Meeting. Attending from StataCorp: Chuck Huber, Director of Statistical Outreach, and Meghan Cain, Senior Statistician, Communications. We're also hosting two Industry Expert Theaters. For more information about the meeting, visit the APHA 2022 Annual Meeting page.

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Title: Creating maps with Stata
Presenter: Chuck Huber, Director of Statistical Outreach, StataCorp
Date: Sunday, 6 November 2022
Time: 4:00–4:20 p.m. ET
Description: This talk will demonstrate how to create maps and animated maps using the community-contributed grmap command. We will introduce shapefiles, learn how to find them, and show how to merge them with other datasets, such as the Johns Hopkins COVID-19 dataset. No prior experience with mapping is necessary.
Title: Using Stata in Jupyter Notebook
Presenter: Meghan Cain, Senior Statistician, Communications, StataCorp
Date: Monday, 7 November 2022
Time: 2:00–2:20 p.m. ET
Description: Use Stata in Jupyter Notebook to create collaborative, interactive documents including code and output, formatted text, images, LaTeX, and more. We will cover setting up Stata from within Python, loading Python data frames into Stata, running Stata commands, and using Stata's returned results in Python. All demonstrations will take place in Jupyter Notebook, although the tools can be used from any IPython kernel-related environment.

Presenters

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.

Meghan Cain portrait

Meghan Cain is a Senior Statistician at StataCorp. She earned her PhD in quantitative psychology from the University of Notre Dame, where her research focused on structural equation modeling, multilevel modeling, and Bayesian statistics. At Stata, she develops and presents training on these and other topics. She also conducts webinars, works with developers to produce Stata documentation, and contributes to Stata blogs.

PDF flyers

Browse the Stata flyers below.

Introduction to Stata



Stata overview
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Why Stata
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Stata 17 highlights
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Stata/MP
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Features



Bayesian analysis
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Bayesian econometrics
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Causal inference/Treatment effects
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Choice models
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Clinical trials
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Customizable tables
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Data frames
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Difference in differences
Letter   A4

Extended regression models (ERMs)
Letter   A4

Finite mixture models (FMMs)
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Interval-censored Cox model
Letter   A4

Item response theory (IRT)
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Lasso: Prediction and inference
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Latent class analysis (LCA)
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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
Letter   A4

Nonparametric regression
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Panel data
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Power, precision, and sample-size analysis
Letter   A4

PyStata
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Reproducible and automated reporting
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Spatial autoregressive models (SARs)
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Structural equation modeling (SEM)
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Survey data
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Survival analysis
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Time series
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Resources



Programming with Stata
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Teaching with Stata
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Tech support
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Stata Journal



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The Stata Journal
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