Public training courses
Learn Stata from StataCorp’s experts. These two-day courses are ideal for researchers and individuals that want to learn or have a deeper understanding of Stata.
March 4–5, 2014, Washington, DC
April 21–22, 2014, Washington, DC
Aimed at both new Stata users and those who wish to learn techniques for efficient day-to-day use of Stata, this course enables you to use Stata in a reproducible manner, making collaborative changes and follow-up analyses much simpler. Exercises suppl ement the lessons and Stata examples.
March 6–7, 2014, Washington, DC
Learn how and when to use Stata’s treatment-effects estimators to analyze treatment effects in observational data. Use regression adjustment, inverse probability weights, doubly robust methods, propensity-score matching, and covariate matching to estimate average treatment effects (ATEs) and ATEs on the treated. We will cover the conceptual and theoretical underpinnings of treatment effects as well as many examples using Stata.
March 24–25, 2014, Washington, DC
Learn how to illustrate, specify, and estimate structural equation models in Stata using Stata’s SEM Builder and the sem command. The course introduces several types of models, including path analysis, confirmatory factor analysis, full structural equation models, and latent growth curves. Exercises supplement the lessons and Stata examples.
April 23–24, 2014, Washington, DC
Measure and account for clustering and grouping at multiple levels. Whether linear or nonlinear, multilevel modeling allows for random intercepts and slopes at multiple levels, reducing the problems of too much or too little data aggregation. The course is interactive, uses real data, offers ample opportunity for specific research questions, and provides exercises to reinforce what you learn.
Computers with Stata installed are provided at all public training sessions. Enrollment is limited.