The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
553
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Wednesday, August 1, 2012 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
ENAR
|
| Abstract - #306085 |
|
Title:
|
Sequential Test with Linear Transforamtion Model for Censored Data
|
|
Author(s):
|
Lin Huang and Zhezhen Jin*+
|
|
Companies:
|
Children's Hospital Boston/Harvard Medical School and Columbia University
|
|
Address:
|
Department of Biostatistics, New York, NY, 10032-2603, United States
|
|
Keywords:
|
Censored data ;
Linear transformation models ;
Repeated significant test ;
Sequential analysis
|
|
Abstract:
|
Sequential tests have been used commonly in clinical trials to assess treatments. Several different methods have been studied for the sequential analysis of right censored survival data based on either Cox proportional hazards model or accelerated failure time model. Here we propose a test process based on linear transformation models for right censored data with staggered entry, which is motivated by Chen, Jin and Ying's (2002) estimating equations for linear transformation models. We show that the test process can be approximated by a mean 0 multidimensional Gaussian process. A consistent estimator of its covariance matrix function is provided. For given interim analysis time points,a repeated significant test is developed based on the procedure proposed by Slud and Wei (1982). Numerical studies will also be presented.
|
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 2012 program
|
2012 JSM Online Program Home
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.