Webinars

New to Stata? Ready to analyze your data but don’t know where to start? If you are wondering questions like: How do I enter data into Stata? What tools are available for data manipulation and cleansing? How do I create and customize scatter charts, histograms, and other charts? How can I fit a model and graph the results? How do I find resources to learn Stata? then join for the webinar featuring Stata. This one-hour webinar will take you on a tour of Stata, show you how to answer questions like these, and show you how to go even further. I can’t wait for you to get started with Stata and to see where it takes you!

How to join
The webinar is free, but registration is required to participate. Entries are limited so register early. You will receive an email before the start with instructions on how to access the webinar.

Registration deadline: 5 August 2025. Registration

Discover some of Stata’s hidden (and not so hidden) gems. The Tips & Tricks webinar shares with you some of the Stata developers’ favorite Stata features. It includes the following tips: label in three ways, standardize graphs using the graph recorder, then fit a model, now what?, interpret and understand the model, transform interactive use into reproducible results, work with Word. Join for this one-hour webinar and learn how you can make your interactions with Stata more efficient and effective.

How to join
The webinar is free, but registration is required to participate. Entries are limited so register early. You will receive an email before the start with instructions on how to access the webinar.

Registration deadline: 27 July 2025. Registration

Do you have event-time data you would like to model, but you’re not sure exactly when the event occurred?

In survival analysis, interval-censored event-time data arise when the event of interest is not always observed exactly but is known to have occurred within a specific time interval. Stata 17 introduced the stintcox command to fit genuine semiparametric Cox models for such data, and Stata 18 expanded its capabilities by adding support for time-varying covariates (TVCs). Building on this, Stata 19 introduces the new stmgintcox command, enabling the modeling of interval-censored multiple-event data while accounting for potential correlations between event times across different event types.

In this webinar, we will describe the fundamental types of interval-censored data and demonstrate how to fit the semiparametric Cox proportional hazards model using the stintcox command. We will provide examples using both single-record and multiple-record-per-subject datasets and show how to incorporate TVCs. Additionally, we will discuss how to interpret and plot results and how to assess the proportional-hazards assumption. Finally, we will show you how to fit a marginal Cox proportional hazards model to interval-censored multiple-event data and perform a more powerful test for common covariate effects across all events.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 17 August 2025. Registration

Taking a class that uses Stata but not sure where to start?

If you are asking yourself questions such as:

How do I get data into Stata?
What tools are available for manipulating and cleaning data?
How can I create and customize scatterplots, histograms, and other graphs?
How do I fit a model and graph the results?
How do I find resources for learning Stata?

then join us for our webinar introducing Stata. In this one-hour webinar, we will take you on a tour of Stata, show you how to answer questions like these, and show you how to go even further.

We can’t wait for you to get started with Stata and to see where you take it!

How to join
The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 8 September 2025. Registration

Discover the power of machine learning with H2OML, save time with HDFE, and unveil heterogeneous causal effects with CATE.

Stata 19 introduces powerful new features designed to enhance your research, improve efficiency, and streamline reporting. Key developments include statistical features in causal inference, panel-data analysis, and Bayesian analysis, along with new features in tables and graphics, interface improvements, and more. Join Meghan Cain, Assistant Director, Educational Services, as she takes you on this guided tour of Stata 19.

This webinar will provide an overview of Stata 19 features, highlights, and even some demonstrations.

If you haven’t checked out all the new features in Stata 19 yet, join this webinar to see what you’re missing.

How to join

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.

Registration deadline: 21 September 2025. Registration

Treatment effects estimate the causal effects of a treatment on an outcome. We usually estimate average treatment effects (ATE), but taking an average across a population may not be useful when the effect is heterogeneous. Average treatment effects conditional on a set of variables (CATEs) help us understand heterogeneous treatment effects, and, by construction, are useful to evaluate how different treatment-assignment policies affect different groups in the population.

In this webinar, we will show how to use Stata 19’s new command cate to answer questions such as the following:

Are the treatment effects heterogeneous?
How do the treatment effects vary with some variables?
Do the treatment effects vary across prespecified groups?
Are there unknown groups in the data for which treatment effects differ?
Which is best among possible treatment-assignment rules?

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 13 October 2025. Registration

Which customers will default on their loan? How will stock prices change in the coming weeks? What key factors drive surgical success?

High-performance machine learning methods can answer questions like these and many more, even when the data-generating process is complex. With the new h2oml suite in Stata, you can implement two of the most used models in machine learning via H2O: gradient boosting machine (GBM) and random forest (RF).

In this webinar, we will see how to fit these models to predict continuous, binary, and multinomial outcomes; how to evaluate model performance; and how to optimally select model hyperparameters. We will also explore the tools available in Stata to interpret and explain the predictions of our machine learning models. These include variable importance, global surrogate models, partial dependence plots, ICE curves, and Shapley values.

How to join

The webinar is free, but you must register to attend. Registrations are limited so register soon.

Registration deadline: 11 November 2025. Registration

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