JSM 2005 Online Program

Abstract #303729

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:	312
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Section on Bayesian Statistical Science
Abstract - #303729
Title:	Bayesian Spatial Hierarchical Modeling for Asthmatic Patients and Nonasthmatic Adults
Author(s):	Hyun Kim*+ and Robert Weiss and Jonathan Goldin
Companies:	University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
Address:	924 Westwood Blvd suite 650, Los Angeles, CA, 90024, United States
Keywords:	Bayesian statistics ; spatial analysis ; Hierarchical model ; Asthma ; Computed Tomography
Abstract:	Asthma is the disease caused by air-trapping of the smooth muscle in the small bronchi of the lung. To assess regional air-trapping, high-resolution computed tomography (HRCT) measures and captures a lung into four lobes, nesting three segments in each lobe. We present an application of Bayesian hierarchical modeling to spatial analysis in the lung, incorporating normal random effect to each asthmatic patient or nonasthmatic adult. We use George and McCulloch's mixture modeling to detect the outlying cases and subject. The data were obtained from the baseline of FOREST and SINGULAIR study. We investigate a threshold of air-trapping to discriminate asthmatic patients and nonasthmatic adults with adjusting spatial effect in the lung. Then, we apply the analysis of sensitivity and specificity using the threshold.

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