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LISA Statistics Short Course: Generalized Linear Models and Categorical Data Analysis in R
(Academic)
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.
Fall 2014 Schedule:
Tuesday, October 7: Design of Experiments;
Tuesday, October 14: SQL in R;
Tuesday, October 21: Survey;
Tuesday, October 28: Introduction to R;
Tuesday, November 4: Generalized Linear Models and Categorical Data Analysis in R;
Tuesday, November 11: Graphics in R;
Tuesday, November 18: A tutorial for shiny in R;
Tuesday, December 2: Data Analysis in SAS;
Tuesday, November 4 ;
Instructor: Liang (Sally) Shan;
Title: Generalized Linear Models and Categorical Data Analysis in R;
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 continuous or discrete (e.g. binary or frequency).
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 to fit GLMs using real data.
Below are three data examples which will be used in the course.
Example 1:
Researcher A is interested in how variables, including GRE, GPA and prestige of the undergraduate institution, affect admission status into graduate school. In this scenario, the response admission status (admit/no admit) is binary.
Data set link: http://www.ats.ucla.edu/stat/data/binary.csv
Example 2:
Researcher B wants to predict the number of awards that a newly admitted student will earn by looking at the type of program in which the student was enrolled (vocational, general or academic) and the score of their final math exam.
Data set link: http://www.ats.ucla.edu/stat/data/poisson_sim.csv
Example 3:
A Physicians' Health Study Research Group at Harvard Medical School wants to study the relationship between aspirin use (Placebo/Aspirin) and heart attacks (Fatal Attack/Nonfatal Attack/No Attack).
Data are summarized in a table on our website (www.lisa.stat.vt.edu/?q=node/7933).
In Example 3, both variables are categorical, so categorical data analysis techniques (e.g. tests of independence) will be explained and implemented.
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More information...
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540-231-8354