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Available courses

Bring any of the following courses directly to your users. All courses are fully customizable. View additional topics.

Advanced Stata Programming
Learn to program new commands in Stata, from simple procedural commands to more complex estimation commands. (detailed description)
Length: 1 day

Data Visualization in Stata
This course provides an in depth analysis of Stata's graphing capabilities. (detailed description)
Length: 1 day

Handling Missing Data Using Multiple Imputation
Learn the fundamentals of multiple imputation for regaining power lost by missing data. The course covers all aspects of using multiple-imputation (MI) analysis interactively. Topics include creation of MI data using the multivariate-normal and chained-equations (aka fully conditional specification) imputation methods, manipulation of MI data, and analysis of MI data. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 days

Multilevel/Mixed Models Using Stata
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. (detailed description)
Length: 2 days

Panel-Data Analysis Using Stata
Learn both the theory and the practice of panel-data analysis. After introducing the fixed-effects and random-effects approaches to unobserved individual-level heterogeneity, the course covers linear models with exogenous covariates, linear models with endogenous variables, dynamic linear models, and some nonlinear models. The course also offers an introduction to the generalized method of moments estimation technique. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 days

Programming an Estimation Command in Stata
Write your own estimation command in Stata. This course provides an introduction to basic Stata do-file programming, basic and advanced ado-file programming, and Mata, the byte-compiled matrix language that is part of Stata. Exercises supplement the lessons and Stata examples. No prior programming in Stata or Mata required. (detailed description)
Length: 2 days

Structural Equation Modeling Using Stata
Learn how to illustrate, specify, and estimate structural equation models in Stata, using both 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. (detailed description)
Length: 2 days

Survey Data Analysis Using Stata
Set up and analyze data from complex survey designs. The course covers the sampling methods used to collect survey data and how they affect the estimation of totals, ratios, and regression coefficients. The course also covers Stata's support for many survey variance estimators, including linearization, balanced and repeated replications (BRR), and jackknife. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 days

Time-Series Analysis Using Stata
Learn how to efficiently use Stata for time-series analysis. Topics include data management, estimation, model selection, hypothesis testing, and interpretation. Exercises supplement the lessons and Stata examples. (detailed description)
Length: 2 days

Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals
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 will supplement the lectures and Stata examples. (detailed description)
Length: 2 days

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