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LISA Short Course: Generlized Linear Models
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. Click the More Information Link below for instructions on how to REGISTER through FDI and to learn more. Refreshments will be provided at the end of each short course! All courses will be held in Fralin from 5-7PM, Monday classes are in the Auditorium and Tuesday classes are downstairs in the 002 Classroom.
April 6, 2010:
Generalized Linear Models
Instructor: Mark Seiss
The third LISA mini course for the Spring 2010 semester focuses on appropriate model building using generalized linear models. While multiple linear regression models are common for Normal data, they are not appropriate for non-Normal data. This short course introduces attendees to linear models used for non-Normal data, with an emphasis on categorical response data such as binary or count.
The most common way to analyze a binary response (Yes/No or 0/1 outcomes) is the Logistic regression model, which is a linear model with a logit transform of the response mean. The most common way to analyze a count response (whole numbers) is the Poisson regression model, which is a linear model with a log transform of the response mean. The course will explain those two models in detail and how to interpret the results. The course will also work through examples of the application of each model using statistical package JMP and will explain all output that is produced.
LISA also provides:
Free statistical collaboration and consulting
Free daily Walk-in Consulting Service is available from 12-2pm in 401 Hutcheson Hall.
Visit http://www.lisa.stat.vt.edu for more information.