LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's 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 2015 Schedule:
Monday & Tuesday, February 16 & 17: Basics of R;*
Monday & Tuesday, February 23 & 24: Graphics in R;*
Tuesday, March 3: Multivariate Analysis in R;
Tuesday, March 17: Designing Experiments;
Monday & Tuesday, March 23 & 24: Using ggplot2 to produce enhanced graphics in R;*
Tuesday, April 7: T-tests & ANOVA;
Tuesday, April 14: Solutions for Broken Linear Models;
Tuesday, April 21: Generalized Linear Models (GLMs) & Categorical Data Analysis (CDA);
*Two sessions to accommodate more attendees.


Tuesday, April 21;
Instructor: Hong Tran;
Title: Generalized Linear Models (GLMs) & Categorical Data Analysis (CDA);
Course Information:
Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be discrete (e.g. binary or count). When both explanatory and response variables are categorical, it is more convenient to analyze data using contingency table analysis rather than using GLMs. Even though the two analyses are equivalent.

This course covers:

1. What are GLMs? When should we use them?
2. How GLM works.
3. Categorical data analysis, including contingency table analysis, measures of association, tests of independence, tests of symmetry.
4. How to use R (or SAS) to fit GLMs using real data and explain how we will interpret some of the output from the software.

There will be several examples to illustrate each type of models.

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More information...

Location:	1080 Torgersen Hall
Price:	Free
Contact:	Tonya Pruitt lisa@vt.edu 540-231-8354
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