This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
301
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
IMS
|
Abstract - #306681 |
Title:
|
The NPMLE of the Joint Distribution Function with Right-Censored and Masked Competing Risks Data
|
Author(s):
|
Qiqing Yu*+
|
Companies:
|
Binghamton University
|
Address:
|
39 Green Meadow Lane, Binghamton, NY, 13901, USA
|
Keywords:
|
Right-censorship ;
competing risks model ;
self-consistent algorithm ;
generalized MLE ;
consistency ;
asymptotic normality
|
Abstract:
|
Even though the right-censored competing risks data with masked failure cause have been studied for 30 years, the asymptotic properties of the non-parametric maximum likelihood estimator (NPMLE) of the joint distribution function with such data have never been studied. The solution to the NPMLE is not unique and we show that the NPMLE studied in the current literature is inconsistent. Moreover, we propose a consistent NPMLE and establish its asymptotic normality. It is a nontrivial example in the survival analysis context that there exist an inconsistent NPMLE as well as a consistent NPMLE under the same model. Our proofs do not need the symmetry assumption made by almost all researchers on such data. We present simulation results on the consistent NPMLE and apply the NPMLE to a data set in medical 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 2010 program
|
2010 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.