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Multilevel/Mixed Models Using Stata

Description

This course is an introduction to using Stata to fit multilevel/mixed models. Mixed models contain both fixed effects analogous to the coefficients in standard regression models and random effects not directly estimated but instead summarized through the unique elements of their variance–covariance matrix. Mixed models may contain multiple levels of nested random effects. These models are also referred to as multilevel or hierarchical models.

The course will be interactive, use real data, and offer ample opportunity for specific research questions and for working exercises to reinforce what is learned.

Price: $1,295  

We offer a 15% discount for group enrollments of three or more participants.

Course topics

  • Modeling clustered data
    • The random-intercept model
    • The within estimator versus the generalized least squares (GLS) estimator; the Hausman test
    • Maximum likelihood and restricted maximum likelihood
    • Using the mixed and xtreg commands for the random-intercept model
    • Small sample inference for fixed effects in mixed models New
  • The random coefficients model
    • Adding random coefficients
    • Covariance structures for random effects
    • Specifying models hierarchically
    • Growth curves
  • More complex models
    • Multiple-level models
    • Crossed-effects models
    • Complex and grouped constraints on variance components
    • Heteroskedastic errors
    • Alternate error structures
  • Binary and count responses
    • Models for binary and count responses
    • Estimation via adaptive Gaussian quadrature
    • Model building using the Laplacian approximation
  • Predictions, model diagnostics, and other postestimation tasks
    • Empirical Bayes predictions
    • Residuals
    • Fit diagnostics
    • Diagnostic plots
    • Cataloging and comparing mixed-model results in Stata
    • Likelihood-ratio (LR) tests

Prerequisite

Knowledge of linear regression and a working knowledge of Stata.

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Notes

Enrollment is limited. This course is offered in both classroom and web-based settings.

Classroom training courses are two-day courses that run from 8:30 a.m. to 4:30 p.m. each day. These courses take place at a training center where computers with Stata installed are provided. A continental breakfast, lunch, and an afternoon snack will also be provided; the breakfast is available before the course begins.

Web-based training courses are four-day courses that run for three and a half hours each day. You will be provided with a temporary Stata license to install on your computer, a printed copy of the course notes, and all of the course datasets so that you can easily follow along. Learn more about how our web-based training courses work, watch a video demonstration, and find technical requirements for participating in this type of training.

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