American Statistical Association Joint Statistical Meetings
1–6 August 2026 | Boston, MA
Attending from StataCorp:
Eduardo García Echeverri, Senior Econometrician, Communications;
Kristin MacDonald, Executive Director, Statistical Services;
Xiao Yang, Principal Biostatistician and Software Developer; and
Yaojin Sun, Senior Statistician and Software Developer
StataCorp Booths: 400, 402, 404
Stata Press Booth: 406
StataCorp will be an exhibitor at the 2026 Joint Statistical Meetings. View downloadable copies of our flyers, and visit the JSM 2026 conference page for more information about the meeting.
View flyers
2026 Joint Statistical Meetings
CATE and LATE in Stata: Conditional average treatment effects and local average treatment effects
Instructor: Eduardo García Echeverri, Senior Econometrician, Communications
Date: Wednesday, 5 August 2026
Time: 8:30–10:15 a.m. ET
Fee: $60 to $75
In this workshop, we present two of the latest features for causal inference added into Stata 19: conditional average treatment-effects (CATE) and local average treatment-effects (LATE) estimation. We cover the assumptions of both models, discuss when to use which, and demonstrate how to easily implement them with many practical examples using the software. [Read more ...]
Registration
Eduardo García Echeverri
Senior Econometrician, Communications
Eduardo García Echeverri is a Senior Econometrician at StataCorp LLC. He holds a PhD in Economics from the University of Rochester and a master’s degree from Universidad de los Andes in Colombia. His research focuses on nonparametric and semiparametric methods in econometrics. At Stata, he produces documentation, develops webinars, and contributes to the development of new statistical features.
Multilevel and mixed models in Stata
Instructor: Kristin MacDonald, Executive Director, Statistical Services
Date: Wednesday, 5 August 2026
Time: 8:30–10:15 a.m. ET
Fee: $60 to $75
This workshop covers the use of Stata to fit multilevel (mixed) models, models that contain multiple levels of nested random effects. These effects may take the form of either random intercepts or random coefficients on regressors. After a brief review of the methodology, the course will demonstrate by example the fitting of such models in Stata. The focus will be primarily on linear (Gaussian) models, but binary, count, ordinal, and categorical responses will also be considered. In addition to models with nested effects, models with crossed effects will also be discussed. Specialized within-group error structures, such as heteroskedastic, autoregressive, and spatial exponential structures, will also be covered. No prior knowledge of Stata is required, but familiarity with multilevel modeling will prove useful. [Read more ...]
Registration
Kristin MacDonald
Executive Director, Statistical Services
Kristin MacDonald is the Executive Director of Statistical Services at StataCorp LLC. Kristin has been with Stata since 2006. Her primary responsibilities include Stata documentation, statistical aspects of marketing, and coordination of Stata training. She also collaborates with Stata developers, especially in design and documentation of commands for structural equation modeling, multilevel modeling, item response theory, and causal inference. Kristin holds a master's degree in statistics from Texas A&M University.
Career & Opportunities Expo:
We will be interviewing candidates through the JSM Career Service. All applicants planning to interview and participate onsite must be registered for the JSM 2026 Annual Meeting. Interested candidates must apply online before scheduling an interview at JSM.
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