JSM 2004 - Toronto

Abstract #301764

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
Activity Number: 156
Type: Contributed
Date/Time: Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #301764
Title: Application of Multiple Imputation in Calculating Propensity Scores in Observational Studies
Author(s): Ouhong Wang*+ and Brenda J. Crowe
Companies: Eli Lilly and Company
Address: Lilly Corporate Center, Indianapolis, IN, 46285,
Keywords: multiple imputation ; propensity scores ; observational studies ; simulation
Abstract:

In the safety analysis of observational studies comparing two clinical treatment options, propensity scores are often used to control for baseline imbalances. At the mean time, missing baseline values result in exclusion of patient data due to missing propensity scores. It is hypothesized that both the power is reduced, and the point estimate of relative risk is biased depending on the missing data pattern. The use of multiple imputation in calculating propensity scores is investigated. The impact on power and estimating bias are studied through simulations and a comparison of results using data from an actual clinical study will be discussed as well.

  • 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