Abstract #300236

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 #300236
Activity Number: 373
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #300236
Title: Modeling Spatially Correlated Survival Data for Individuals with Multiple Cancers
Author(s): Sudipto Banerjee*+
Companies: University of Minnesota
Address: 420 Delaware St. SE, MMC-303, Minneapolis, MN, 55455,
Keywords: hierarchical models ; Markov Random Field ; MCMC ; survival analysis
Abstract:

With the last decade witnessing major advances in medical science and health care, medical databases today offer much more information on patients with multiple cancers than was available some years ago. This talk focuses upon analysis of data, where progression of multiple cancers have been systematically recorded for each patient--from the diagnosis of the first primary cancer to possible subsequent (primary) cancers. Of particular interest is the analysis of spatial variation in such data, thereby revealing spatial patterns in survival data that help identify "problem areas" in maps. Used conjunctively with statistical software, sophisticated Geographical Information Systems programs enable easy production of maps for raw data and interesting estimates that help discern spatial patterns and interactions among cancers. A multivariate version of the Markov Random Field model will be used to develop Bayesian hierarchical models for spatial frailties within a proportional hazards structure. MCMC methods are used to fit these models and will be outlined.

  • 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