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LISA Statistics Short Course: Analyzing Non-Normal Data with Generalized Linear Models (GLMs)
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. Refreshments will be provided at the end of each short course held in Fralin Auditorium!
Remaining Fall 2010 Schedule:
November 2: Analyzing Non-Normal Data with Generalized Linear Models (GLMs);
November 9: *Intro to SAS;
November 16: *Using R for Your Basic Statistical Needs;
*Course to be held in 3060 Torgersen Hall.
Tuesday, November 2;
Instructor: Sai Wang;
Title: Analyzing Non-Normal Data with Generalized Linear Models (GLMs);
Course Information: In many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce the two most common GLM models: Logistic Regression for binary (yes/no or 0/1) data and Poisson Model for count data. Examples of fitting models using JMP and interpretation of outputs are also provided.
LISA also provides free statistical collaboration and consulting: visit www.lisa.stat.vt.edu to schedule an appointment.
Free daily Walk-in Consulting Service is available from 12-2pm in 401 Hutcheson Hall. See www.lisa.stat.vt.edu/?q=walk_in for more details.