JSM 2005 Online Program

Abstract #304441

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:	391
Type:	Topic Contributed
Date/Time:	Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Biometrics Section
Abstract - #304441
Title:	Estimation of the Joint Causal Effects on Survival of Multistage Nonrandomized Treatment Sequences for Recurrent Diseases
Author(s):	Xuelin Huang*+
Companies:	The University of Texas M. D. Anderson Cancer Center
Address:	1515 Holcombe BLVD, Houston, TX, 77030, United States
Keywords:	Causal inference ; Estimating equation ; Marginall structure model ; Recurrent event ; Survival analysis ; Treatment strategy
Abstract:	In the treatment of cancer, patients commonly receive a variety of sequential treatments. The initial treatments administered following diagnosis and subsequent salvage regimens given after disease recurrence can vary. This paper considers the situation in which neither initial treatments nor salvage treatments are randomized, but the collected data are sufficiently rich so that it is reasonable to assume there are no unmeasured confounders. The marginal structural models proposed by Robins and colleagues are extended to the recurrent disease situation to estimate the joint causal effects on survival of initial and salvage treatments (i.e., the effects of multistage treatment sequences). Simulation studies are conducted to evaluate the methods. The methods are illustrated by a retrospective study of patients with soft tissue sarcoma, which motivated this research.

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