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.

Spring 2012 Schedule:
January 31: Designing Experiments and Collecting Useful Data;
February 7: How to Create a Successful Survey;
February 14: Statistical Analysis in R, Part I;*
February 16: Statistical Analysis in R, Part II;*
February 21 & February 23: Combining the Power of R and Excel: RExcel;*
February 28: Regression Analysis using JMP;
March 13: Bayesian Methods for Regression in R;*
*These courses will be held in 3060 Torgersen, all other courses will be held in GLC Room F.

Tuesday, February 28;
Instructor: Mark Seiss;
Title: Regression Analysis using JMP;
Course Information:
This short course provides an introduction to regression analysis, a commonly used method to study the relationship between a response variable and one or more explanatory variables. The course will focus on simple and multiple linear regression with both categorical and continuous covariates.

Topics covered will include the assumptions of simple and multiple linear regression, interpretation of the model, and model selection. Graphical methods useful for understanding relationships and checking assumptions are described and illustrated using the JMP software package. The course will end with a brief introduction to regression involving binary response variables (Yes/No or 0/1 outcomes) using logistic regression and count response variables (whole numbers) using Poisson regression.

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More information...

Location:	GLC Room F
Price:	Free
Contact:	Tonya Pruitt lisa@vt.edu 540-231-8354
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