JSM 2005 - Toronto

Abstract #303415

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: 309
Type: Topic Contributed
Date/Time: Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #303415
Title: Analyses of Short- and Long-term Treatment Effects on Longitudinal Quality of Life
Author(s): Donna Ankerst*+ and Caroline Jiang
Companies: Sylvia Lawry Centre for Multiple Sclerosis Research and The Queen's Medical Center
Address: Hohenlindener Str 1, Muenchen, D-81677, Germany
Keywords: Quality of life ; Non-ignorable missing data ; clinical trial
Abstract:

To economically differentiate the short- and long-term impact of therapy on patient QOL in clinical trials, assessments are typically performed at a small number of relevant time points that include baseline, mid-therapy, immediately, and at extended times after therapy. The population mean QOL trajectories may be nonlinear, with either improvements or deteriorations during treatment followed by retreats to baseline levels or sustained improvements. There may be missing data resulting from a dropout mechanism that is nonignorable, as patients with deteriorating health are more likely to be lost to followup. We provide a comprehensive pattern mixture time factor (PMTF) model for assessing nonlinear short- and long-term treatment effects in the presence of nonignorable missing data. The PMTF model makes explicit the assumptions concerning missing data, which are not identifiable and must be varied, resulting in a sensitivity analysis of treatment effects.

  • 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