Multilevel and Mixed Models Using R

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Date(s) - 07/28/2020 - 07/31/2020
12:00 am

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This seminar will be hosted by Statistical Horizons.

Multilevel and Mixed Models Using R, Taught by Dr. Stephen Vaisey
July 28th through July 31st (remote)

Multilevel models are a class of regression models for data that have a hierarchical (or nested) structure. Common examples of such data structures are students nested within schools or classrooms, patients nested within hospitals, or survey respondents nested within countries. Using regression techniques that ignore this hierarchical structure (such as ordinary least squares) can lead to incorrect results because such methods assume that all observations are independent. Perhaps more important, using inappropriate techniques (like pooling or aggregating) prevents researchers from asking substantively interesting questions about how processes work at different levels.

The cost of attendance is $795.

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