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TOPICS: - Fall meeting date, time, and location - Call for speakers for the fall meeting - Short course information ################ FALL MEETING Hello everyone – The fall ASA CO/WY meeting will be held on November 13, 2009 at the Anschutz Medical Campus. There is no need to RSVP for this event. We will send directions as the fall meeting approaches. If you are interested in speaking at this event – please contact me (Christopher Nelson) at chnelson@du.edu. Any topics in statistics are welcomed and the presentation should last approximately 20-30 minutes. Event: CO/WY Fall Meeting 2009 Date: November 13, 2009 ################# SHORT COURSE This is a quick note about registering for the upcoming ASA CO/WY Short Course: The Analysis of Cross-Classified Categorical Data. There are only 2 seats remaining for the course and the cost is $25/participant. Additional information (date, time, location, etc.) about the short course is noted below. Please email me directly (Christopher Nelson at chnelson@du.edu) if you would like to attend this course. If you have already emailed me confirming your interest in this course and you still plan to attend, there is no need to send another email. Thanks, Christopher Nelson, Ph.D. ##### CO/WY SHORT COURSE: THE ANALYSIS OF CROSS-CLASSIFIED CATEGORICAL DATA ##### Course: The Analysis of Cross-Classified Categorical Data Date: Friday, October 2 Abstract Statistical methods for the analysis of categorical data in the form of contingency tables dates back to the turn of the last century, and were transformed by the development of log-linear model methods in the 1960s and 1970s, when computation via maximum likelihood estimation became not only feasible but widely accessible via the major statistical packages. This 1-day is based on materials from an M.S. level course taught at Carnegie Mellon and will introduce participants to log-linear models and methods for fitting them to multi-dimensional contingency tables. The material will include the use of graphical models and their interpretation, and the applicability of the methodology to large sparse tables. Text: Stephen E. Fienberg The Analysis of Cross-Classified Categorical Data. 2nd Edition. MIT Press. Reprinted by Springer-Verlag, 2007. (Included with registration fee along with updated lecture notes.) The 3rd Edition may be ready for distribution in electronic form for this course. Outline Morning: Examples of Contingency Tables, Log-linear models Afternoon: Higher Dimensional Tables and Graphical Models, Model Selection, Incomplete Contingency Tables and Capture - Recapture Problems Learning outcomes Course participants will learn basic ideas and modern methods for the analysis of cross-classified categorical data using log-linear and logit models. Special emphasis will be placed on the flexibility of these methods and their use in a variety of non-standard problems. The course will presume that they have access to computer programs in such systems as R, S-plus, and SAS, and to MIM, a freely available PC-based program for graphical models. The lectures will use output from such programs but no training in their use! Presenter Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science at Carnegie Mellon University, with appointments in the Department of Statistics, the Machine Learning Department, and Cylab. He is a co-author of Discrete Multivariate Analysis and the Analysis of Cross-Classified Categorical Data, both Citation Classics originally published by MIT Press and reprinted by Springer-Verlag. He continues to publish widely on categorical data topics, including network applications and confidentiality protection. He is a member of the National Academy of Sciences, and a fellow of the Royal Society of Canada, the American Academy of Arts and Sciences, and the American Academy of Political and Social Science. He served as ASA Vice-President, IMS President, and was a recipient of the COPSS’ Presidents’ Award and the ASA’s Samuel S. Wilks Award.
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