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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
This course demonstrates ways 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
This course will interactively cover all aspects of multiple-imputation (MI) analysis, including creation of MI data using the multivariate normal and chained-equations (or fully conditional specification) imputation methods, manipulation of MI data, and analysis of MI data. The course will provide exercises to reinforce the presented material. (detailed description)
Length: 2 days

Multilevel/Mixed Models Using Stata
This course is an introduction to using Stata to fit multilevel/mixed models. The course is interactive, uses real data, and offers ample opportunity for specific research questions and for working exercises to reinforce what is learned. (detailed description)
Length: 2 days

Panel Data Analysis Using Stata
This course provides an introduction to the theory and 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. An introduction to the generalized method of moments estimation technique is also included. Exercises will supplement the lectures and Stata examples. (detailed description)
Length: 2 days

Programming an Estimation Command in Stata
This course shows how to write an estimation command for Stata. No Stata or Mata programming experience is required. This course will provide an introduction to basic Stata do-file programming, basic and advanced ado-file programming, and an introduction to Mata, the byte-compiled matrix language that is part of Stata. Exercises will supplement the lectures and Stata examples. (detailed description)
Length: 2 days

Structural Equation Modeling Using Stata
This course covers the use of Stata for structural equation modeling (SEM). The course introduces a variety of models, including path analysis, confirmatory factor analysis, full structural equation models, latent growth curves, and more. Examples demonstrate the sem command as well as the SEM Builder—a graphical interface for building path diagrams that can be used to illustrate, specify, and estimate SEM models. (detailed description)
Length: 2 days

Survey Data Analysis Using Stata
This course covers how to use Stata for survey data analysis assuming a fixed population. The course covers the sampling methods used to collect survey data and how they affect the estimation of totals, ratios, and regression coefficients as well as Stata’s support for many survey variance estimators, including linearization, balanced and repeated replications (BRR), and jackknife. Each topic will be illustrated with one or more examples using Stata. (detailed description)
Length: 2 days

Time-Series Analysis Using Stata
This course reviews methods for time-series analysis and shows how to perform the analysis using Stata. Exercises will supplement the lectures and Stata examples. (detailed description)
Length: 2 days

Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals
Become intimately familiar with all three components of Stata: data management, analysis, and graphics. This course is aimed at both new Stata users and those who would like to pick up tips for efficient day-to-day use of Stata. (detailed description)
Length: 2 days

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