JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 84
Type: Contributed
Date/Time: Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308013
Title: Bayesian Spatio-Temporal Disease Mapping and Projection Using Data from the National Program of Cancer Registries Lung and Bronchus Cancer 1998--2005
Author(s): Qiang Ling*+
Companies:
Keywords: Bayesian Spatial-temporal model ; Conditional Autoregressive model ; Cancer Incidence ; National Program of Cancer Registries
Abstract:

The ability to predict new cancer incidence and quantify the associated prediction uncertainty is a valuable tool in describing future cancer incidence. Standard approaches often do not consider spatial and temporal dependence in cancer incidence rates in a unified framework. We considered recent development in Bayesian hierarchical modeling approaches that allow flexible spatio-temporal interactions, and examined their use in projecting county-level cancer incidence rates. The methodology is applied to data for lung and bronchus incidence from a randomly selected central registry from the National Program of Cancer Registries (NPCR) for which data were reported to the National Program of Caner Registries at the US Centers for Disease Control and Prevention for the period 1998 to 2007. By examining the 2-year ahead predictive performance of several models with different random effect specifications, our results demonstrate the advantage of considering temporal trends in spatial associations for cancer projection applications. Keywords: Bayesian Spatial-temporal model; Conditional Autoregressive model; Cancer Incidence; National Program of Cancer Registries.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 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.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.