Abstract #301241

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); 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.

Back to main JSM 2003 Program page
JSM 2003 Abstract #301241
Activity Number: 226
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #301241
Title: Recent Results on the Analysis of Current Status Data
Author(s): Nicholas P. Jewell*+
Companies: University of California, Berkeley
Address: Division of Biostatistics, Berkeley, CA, 94720-0001,
Keywords: current status data ; survival analysis ; double censoring ; competing risks ; case-control sampling ; nonparametrics
Abstract:

Researchers working with survival data are by now adept at handling issues associated with incomplete data, particular those associated with various forms of censoring. An extreme form of interval censoring, known as current status observation, refers to situations where the only available information on a survival random variable T is whether or not T exceeds a random independent monitoring time C. Doubly censored current status data has the added complication that both the origin and endpoint associated with T are interval-censored. This talk will introduce some recent developments and applications of current status to allow for response-based sampling and competing risks, and discussion extensions of these ideas to doubly censored current status data. Our remarks will be focused on nonparametric techniques where the form of the distribution function, or survival curve, associated with T, is left unspecified. Some examples where these methods have been applied will be used for illustration.

  • 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 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003