JSM Activity #CE2003_33T

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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CE2003_33T Wed, 8/6/03, 3:00 PM - 5:00 PM N-Monterey Room I
Mulitple Imputation for Missing Data with SAS Software - Continuing Ed
ASA
Instructor(s): Yang C. Yuan, SAS Institute, Inc.
Multiple imputation provides a useful strategy for dealing with data sets with missing values. Instead of filling in a single value for each missing value, Rubin's (1987) approach of multiple imputation replaces each missing value with a set of plausible values that represent the uncertainty about the right to impute. Multiple imputed data sets are analyzed with standard procedures for complete data, and the results are then combined to yield valid statistical inferences that properly reflect the uncertainty due to missing values. This workshop reviews basic concepts and applications of multiple imputation techniques. The workshop describes two SAS/STAT procedures: the MI procedure for creating multiple imputations for incomplete multivariate data, and the MIANALYZE procedure for analyzing results from multiply imputed data sets. This workshop assumes familiarity with standard statistical techniques, such as regression and logistic regression models, as well as basic principles of Bayesian estimation. Fee: Everyone - $50.00
 

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003