JSM 2005 - Toronto

Abstract #304353

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. 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, 2005); 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.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 57
Type: Topic Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #304353
Title: Estimations of Treatment Effects on Multiple Endpoints for Clinical Trials with Interim Analyses
Author(s): Michael Lee*+ and Hui Quan
Companies: Merck Research Laboratories and Merck Research Laboratories
Address: P O Box 2000, Rahway, NJ, 07065, United States
Keywords: early stopping ; correlated endpoints ; confidence interval coverage ; estimation bias ; group sequential desings
Abstract:

Clinical trials with group-sequential design often are conducted to monitor treatment effects on trial endpoints. A trial with group-sequential design can be stopped early if the treatment effects can be demonstrated through interim analyses based on prespecified stopping rules. In addition to the need for Type-I error rate control for group-sequential-designed trials, appropriate estimates of treatment effects on the trial endpoints when the trials are stopped also are necessary. It is well known that the naïve estimates are biased. For a single endpoint trial, a few methods have been proposed in the literature about how to reduce the estimation bias and obtain confidence intervals for the treatment effects with proper coverage. In this research, we propose methods for adjusted estimations of treatment effects for group-sequential-designed trials in which treatment effects on correlated endpoints are evaluated. In addition, we consider the estimations of treatment effects on secondary endpoints when trial monitoring focuses on a primary endpoint. Simulations will be conducted to evaluate the performances of the methods.

  • 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 2005 program

JSM 2005 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 2005