JSM 2005 Online Program

Abstract #304162

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.

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Activity Number:	512
Type:	Contributed
Date/Time:	Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Biometrics Section
Abstract - #304162
Title:	Estimation of Survival Distributions in Two-stage Randomization Designs with Censored Survival Data
Author(s):	Xiang Guo*+ and Anastasios A. Tsiatis
Companies:	North Carolina State University and North Carolina State University
Address:	1615 College View Ave., Raleigh, NC, 27606,
Keywords:	Counting process ; Inverse Weighting ; Risk sets ; Potential outcomes ; Survival analysis
Abstract:	In many clinical trials related to diseases such as cancers and HIV, patients are treated by different combinations of therapies. This leads to two-stage designs, where patients are initially randomized to a primary therapy and then, depending on the disease remission and patients' consent, a maintenance therapy is randomly assigned. In such designs, the effects of different treatment policies (i.e., combinations of primary and maintenance therapy are of great interest). In this paper, we propose an estimator for the survival distribution for each treatment policy in such two-stage studies with right-censoring, using the method of weighted estimation equations within risk sets. We also derive the large-sample properties. The method is demonstrated and compared with other estimators through simulations and applied to analyze a two-stage randomized study with leukemia patients.

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