JSM 2004 - Toronto

Abstract #301808

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. 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, 2004); 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 2004 Program page
Activity Number: 69
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #301808
Title: Application of MASSC to a Survey of Health-related Behaviors among Military Personnel
Author(s): Vincent G. Iannacchione*+ and George H. Dunteman and Feng Yu and Shijie Chen and Donghui Wang
Companies: RTI International and RTI International and RTI International and RTI International and RTI International
Address: 1615 M St. NW, Suite 740, Washington, DC, 20036,
Keywords: disclosure ; risk ; MASSC
Abstract:

MASSC will be applied on a randomly selected subsample from the 2001 Department of Defense Survey of Health Related Behaviors Among Military Personnel. This worldwide survey collects data on a wide range of health-related behaviors including alcohol and drug use, tobacco use, mental health status, physical health status, and sexual activity. These are sensitive variables that need to be protected from disclosure. They are also used as outcome variables in various statistical models. Data on personal background variables are also collected. They include branch of service, pay grade, age, gender, education level, race, and ethnicity. These variables are defined as identifying variables since using these and other personal characteristics could enable an intruder to identify a respondent and disclose sensitive information. A wide range of identifying variables and sensitive outcome variables need to be included on a PUF in order for it to have analytic utility. The application of MASSC on a subsample of this survey will illustrate how MASSC can preserve the analytic utility for both descriptive analyses and statistical modeling while, at the same time, minimize disclosure risk.

  • 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 2004 program

JSM 2004 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 2004