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LISA short courses in statistics Nov. class

From: Tonya Pruitt, Laboratory for Interdisciplinary Statistical Analysis

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. Visit the LISA website for instructions on how to register and to learn more.

Refreshments will be provided at the end of each short course. All courses will be held in Fralin Auditorium from 5-7PM.

Tuesday, November 10: How to Analyze Repeated Measures and Other Random Effects
Instructor: Dipayan Maiti
This course will cover repeated measures models. The main focus will be implementation of such models and interpretation of the output and briefly covering why we need repeated measures models. The experimental design principles appropriate for such models will not be covered in detail. In this context we will discuss what is a "random effect" and why it is called a "random effect". The primary focus will be for the researcher to understand when he should be thinking about a random effects model. The course will also talk briefly about what is a hierarchical model and why they are the obvious choice of modelers in some cases. The concepts will be explained almost wholly through examples in SAS or in R and using plots. It will be open for questions and discussions at the end. Feel free to ask questions specific to you research and inquire if your data will benefit from a hierarchical structure or a random effects model.

LISA also provides free statistical collaboration and consulting: visit http://www.lisa.stat.vt.edu to schedule an appointment. Free daily Walk-in Consulting Service is available from 12-2pm in 401 Hutcheson Hall.

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