JSM Activity #414

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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414 Applied Session Wed, 8/6/03, 2:00 PM - 3:50 PM R-Corintia
Imputation Methods - Contributed - Papers
Section on Survey Research Methods, Section on Health Policy Statistics
Chair(s): Brenda G. Cox, RoperASW
     2:05 PM   Neural Network Imputation: A New Fashion or a Good Tool — Safaa R. Amer, Oregon State University; Virginia M. Lesser, Oregon State University; Robert Burton, Oregon State University
     2:20 PM   Fractional Imputation Using Regression Imputation Model — Jae-Kwang Kim, Hankuk University of Foreign Studies
     2:35 PM   A Contingency-Table Model for Imputing Data Satisfying Analytic Constraints — William E. Winkler, U.S. Census Bureau; Yves Thibaudeau, U.S. Census Bureau
     2:50 PM   A Comparison of Conventional Estimates of Vaccination Coverage with Estimates Obtained from Multiply Imputed Datasets Using Available Software for Multiple Imputation — Meena Khare, National Center for Health Statistics; Recai Murat Yucel, Institute for Health Policy
     3:05 PM   Multiple Imputation Using Sequential Hierarchical Regression Models — Recai Murat Yucel, Institute for Health Policy; Nathaniel Schenker, National Center for Health Statistics; Trivellore E. Raghunathan, Institute for Social Research
     3:20 PM   Semiparametric Approach for Multiple Imputation of Unobserved Values in Longitudinal Studies — Yulei He, University of Michigan; Trivellore E. Raghunathan, Institute for Social Research
     3:35 PM   Assessment of Model Fit Based on Incomplete Data — Tamas Rudas, Eotvos Lorand University
 

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