JSM Preliminary Online Program
This is the preliminary program for the 2009 Joint Statistical Meetings in Washington, DC.

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Legend: = Applied Session, = Theme Session, = Presenter
Washington Convention Center = “CC”, Renaissance Washington, DC Hotel = “RH”

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CE_32T Wed, 8/5/09, 8:00 AM - 9:45 AM RH-Meeting Rooms 12, 13, 14
Introduction to Bayesian Analysis Using SAS Software - Continuing Education - CTW
ASA
Instructor(s): Fang Chen, SAS Institute Inc.
Bayesian methods have become increasingly popular in recent years. This workshop will provide an introduction to Bayesian methods with applications in the generalized linear model and survival analysis. The first part reviews Bayesian methodology, including motivation and Bayesian inference, and describes computational methods and convergence diagnostics relevant to the SAS implementation. The second part will cover applications using new capabilities in the GENMOD, LIFEREG, and PHREG procedures of SAS/STAT software. Examples include linear regression, logistic regression, Poisson regression, Cox regression, parametric survival models, and the piecewise exponential model. A master's-level knowledge of statistics is assumed, as well as familiarity with generalized linear models and survival analysis. Previous exposure to Bayesian methods is useful, but not required.
 

JSM 2009 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised September, 2008