JSM 2005 - Toronto

Abstract #303744

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: 189
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #303744
Title: A Self-consistent Estimator in the Competing Risk Model with One Arm Subject to Interval Censoring
Author(s): Xiaodong Luo*+ and Wei-Yann Tsai and Louise Kuhn
Companies: Columbia University and Columbia University and Columbia University
Address: 154 Haven Avenue Apartment 907, New York, NY, 10032, United States
Keywords: Competing risk model ; Projection onto the diagonal ; Self-consistent equations ; Nonparametric maximum likelihood estimator ; Uniformly strong consistency ; Asymptotic normality
Abstract:

In this paper, we discuss a special competing risk model where one of the two random times T and S is interval-censored. To estimate the distribution of the minimum of T and S, we propose an estimator motivated by decomposing it into two sub-distributions and based on two self-consistency equations. We give uniformly strong consistency and asymptotic normality of this estimator.

  • 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