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On-site training

Multilevel/Mixed Models Using Stata

Description

This two-day 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 more than one level of nested random effects, and hence, these models are also referred to as multilevel or hierarchical models, particularly in the social sciences. Stata’s approach to linear mixed models is to assign random effects to independent panels where a hierarchy of nested panels can be defined for handling nested random effects.

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.

The course will be taught in five parts. During the first four parts, the discussion will be confined to linear mixed models for continuous responses. The fifth part will focus on binary and count responses.

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Course topics

Prerequisite

Basic knowledge of standard linear regression and a working knowledge of Stata and the Do-file Editor.

Notes

This is a two-day course. All training courses generally run for eight hours per day and include morning and afternoon breaks and a lunch break. You can arrange a convenient schedule with your instructor and training coordinator.

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