JSM Activity #CE_20CThis is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions. To View the Program: You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time. |
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Legend: = Applied Session,
= Theme Session,
= Presenter FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center |
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CE_20C | Tue, 8/10/04, 8:00 AM - 4:00 PM | FRY-Quebec |
Modeling and Analysis of Categorical Data with Overdispersion (1 Day Course) - Continuing Education - Course | ||
ASA, Biopharmaceutical Section | ||
Instructor(s): Jorge G. Morel, Procter & Gamble Company, Nagaraj K. Neerchal, University of Maryland, Baltimore County | ||
The aim of the course is to present a general overview of the phenomenon of overdispersion relative to the binomial/multinomial and Poisson distributions, as well as to provide different methods (quasi-likelihood, likelihood, generalized estimating equations, and generalized linear mixed models) to cope with this problem. Several practical examples will be shown to illustrate the available methodology to model categorical data with overdispersion. Some of the main examples will be analyzed using the SAS Procedures GENMOD and SURVEYLOGISTIC, and the SAS Macro GLIMMIX. The course is at the level of an Applied Masters Degree. It will be also accessible to those with a Bachelors Degree and adequate work experience. Basic knowledge of the binomial, Poisson and multinomial distributions, logistic and Poisson regressions, maximum likelihood estimation and Fisher's information matrix is needed. Introductory knowledge of SAS would be helpful to take full advantage of the SAS codes and the annotated outputs. | ||
JSM 2004
For information, contact jsm@amstat.org
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please contact the Education Department. |