JSM 2004 - Toronto

Abstract #300437

This 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.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


Back to main JSM 2004 Program page

Add ALL Displayed Sessions To My Program  /  View My Program  /  View My Program (condensed)  /  What is My Program?


Activity Number: 271
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract - #300437
Title: Nonimputational Technique for Parameter Estimation on Missing Data
Author(s): Sergey S. Tarima*+ and Yuriy G. Dmitriev
Companies: University of Kentucky and Tomsk State University
Address: 817 Patterson Office Tower , Lexington, KY, 40506-0027,
Keywords: parameter estimation ; missing data ; nonimputational technique for missing data
Abstract:

In the paper a new nonimputational approach to parameter estimation on missing data is proposed. This approach combines parameters' estimates obtained from different parts of a sample defined by corresponded missing data patterns. Improvement of the suggested estimators achieved by involving the effect of mutual correlation between estimators derived from different parts of a sample. New estimators are asymptotically unbiased and provide asymptotically smaller variances. This approach is developed for the case of an ignorable missing data mechanism but it also can be applied for a some nonignorable missing data situations. Applying the suggested methodology to a dropout situation with missing completely at random a well-known Kaplan-Meier estimator is derived.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2004 program

JSM 2004 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 March 2004