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 14;
Instructor: Caleb King;
Title: Solutions for Broken Linear Models;

Course Information:
Researchers from many fields can benefit from applied knowledge of general linear models. This class of models includes the t-test (paired and two sample), regression, ANOVA, and ANCOVA. Like all statistical methods, certain assumptions must hold in order for these models to be successfully implemented. What happens when one or more of these assumptions are violated by the data? In this short course, we discuss the primary assumptions required for general linear models and present methods for assessing the validity of each one. We will discuss methods that address violations in these assumptions (e.g. Box-Cox transformations, weighted least squares). Alternative modeling strategies, such as semiparametric and nonparametric methods, may eliminate the need for some assumptions and will be briefly introduced.

Prerequisite knowledge for this course is a familiarity with general linear models, including ANOVA and ANCOVA. A variety of datasets will be used to illustrate the testing of assumptions as well as alternative procedures. The data will be analyzed using R.


Follow us on Facebook (www.facebook.com/Statistical.collaboration) or Twitter (www.twitter.com/LISA_VT) to be the first to know about LISA events!
More information...

Location:	GLC Meeting Room G
Price:	Free
Contact:	Tonya Pruitt lisa@vt.edu 540-231-8354
copy this event into your personal desktop calendar