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LISA Statistics Short Course: Mixed Models and Random Effects
LISA SHORT COURSES IN STATISTICS
LISA (Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Summer 2011 Schedule:
June 13: What LISA Can Do for You and a Tutorial in T-Tests and ANOVA*;
June 21 & 22: Introduction to R;
June 28 & 29: Linear Regression and Structural Equation Models;
July 5 & 6: Generalized Linear Models;
July 11: Mixed Models and Random Effects*;
*Course to be held in Fralin Auditorium. Other courses will be in 3060 Torgerson Hall
Monday, July 11;
Instructor: Dipayan Maiti;
Title: Mixed Models and Random Effects;
This course will discuss the concept of random effects, why they are called random effects and how they are incorporated in the framework of mixed models. The primary focus of the course will be to identify scenarios where a mixed model approach will be appropriate. We will discuss several examples with various types of response and experimental designs. The course will also talk briefly about what is a hierarchical model and why they are the obvious choice of modelers in most cases. This will be followed by an example that explicitly defines a hierarchical structure. The concepts will be explained almost wholly through examples in SAS or in R.
The course will be open for questions and discussion at the end. Feel free to ask questions specific to your research and if your data will benefit from a hierarchical structure or a mixed model.
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