Abstract Details
Activity Number:
|
346
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Survey Research Methods Section
|
Abstract #312713
|
|
Title:
|
Measuring Risk in Tables Where the Study Variable May Be Negative
|
Author(s):
|
Ann-Marie Flygare*+ and Ingegerd Jansson and Tiina Orusild
|
Companies:
|
Statistics Sweden and Statistics Sweden and Statistics Sweden
|
Keywords:
|
sensitivity measures ;
negative contributions ;
risk scenario ;
statistical disclosure control ;
magnitude tables
|
Abstract:
|
Disclosure control of tables where the study variable, and thus the cell values, may take negative values poses a particular problem. The common sensitivity rules like the dominance rule and the p% rule do not apply. To solve this, it has been suggested to transform cell values (e.g. add a constant or take absolute values) in order to make all values positive and facilitate the use of the common sensitivity rules. With this approach, it is assumed that the risk scenario for variables that may take negative values is similar to variables that only take positive values. We use an empirical study to illustrate how the common sensitivity rules perform in different situations and we initiate a discussion of the sensitivity of data that may take negative values and discuss the need for a different approach to determining the sensitive values. Ideas for modified measures of risk are presented.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development 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.
Copyright © American Statistical Association.