JSM 2005 - Toronto

Abstract #304410

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: 124
Type: Topic Contributed
Date/Time: Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #304410
Title: Assessing Treatment Differences Using a Weighted Responder Analysis
Author(s): Ling Chen and Qian H. Li*+
Companies: U.S. Food and Drug Administration and U.S. Food and Drug Administration
Address: 10802 Whiterim Dr., Potomac, MD, 20854-1784,
Keywords: Asymptotic distribution ; Responder analysis ; Responder rate ; Responder mean ; Weighted responder rate ; Weighted responder mean
Abstract:

When differences in means between treatments are considered improper to quantify treatment differences for endpoints measured on continuous or ordinal scales in clinical trials because small treatment gains (losses) are not clinically relevant, data are often dichotomized into responders versus nonresponders. Therefore, differences in responder rates between treatments are used to quantify the treatment differences without incorporating the sizes of treatment gains (losses) in responders. Because sizes of treatment gains (losses) provide information on how good the treatment is in responders, while the sizes in nonresponders are clinically irrelevant, it is important to incorporate information on treatment gains (losses) in responders when assessing the treatment difference. In this paper, we propose a new way of quantifying treatment effect, referred to as weighted responder means, by making full use of the information available in responders. Tests for differences using weighted responder means are proposed. Examples of using the weighted responder analysis are illustrated.

  • 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