If you have data that have both fixed and random effects or are not normally distributed (or both), this two-day workshop provides an opportunity to learn how to use a new SAS procedure (GLIMMIX) to analyze those data. Glimmix Workshop
Course Description Analysis of data from designed experiments and observational studies often involve both fixed and random effects. PROC MIXED was introduced in the 1990s by SAS Institute for analyzing these studies when the data are normally distributed. A new SAS procedure, PROC GLIMMIX, has enhanced features for the analysis of normal data as well as the capability to analyze non-normal data. This two-day workshop will introduce participants to GLIMMIX. The first day will focus on the analysis of normal data. Participants will be shown how to extend their understanding of MIXED to GLIMMIX. In addition, features that are new to GLIMMIX will be illustrated using real data. These include interaction plots, least squares estimation (as well as least squares means), and low-rank smoothing. The analysis of non-normal data will be discussed the second day, including the analysis of binomial and count data, the choice of link functions, and the interpretation of results. The ability to have multiple response variables with possibly different distributions is another aspect of GLIMMIX that will be explored. Extensive use will be made of real-data sets throughout the course, and participants will be given a copy of all data sets used. Who should come? This workshop is targeted toward those who are familiar with PROC MIXED and who want to learn how to extend this to obtain more information from the analysis of normal data and to use mixed models when the data are non-normal. After this workshop, participants should be able to analyze normal and non-normal data arising from studies with mixed effects. The Instructors Dr. Linda J. Young, Professor and Associate Chair in UF’s Department of Statistics, has consulted with researchers on the faculties of Oklahoma State University, University of Nebraska, and University of Florida. Her research interests are in spatial analysis and modeling of ecological and environmental data. Dr. Ramon C. Littell, Emeritus Professor of UF’s Department of Statistics, has consulted with UF researchers for more than 30 years. His research has focused on mixed models, and he is one of the authors of the book SAS for Mixed Models. Registration Enrollment is restricted to the first 30 registrants. The course registration is $500 on or before April 10, 2008, and $575 after April 10, 2008. Registration may be completed by contacting Juanita Williams by e-mail at [EMAIL PROTECTED]<mailto:[EMAIL PROTECTED]> or phone at 352.392.1941, ext 218. Date and Location The workshop will take place on December 10-11, 2008 in conference room 426 of McCarty Hall, Building C. Additional Information If you have additional questions about course content, please contact Linda J. Young ([EMAIL PROTECTED]) or Ramon C. Littell ([EMAIL PROTECTED]). For questions about course logistics, please contact Juanita Williams ([EMAIL PROTECTED]).
