JSM 2004 - Toronto

Abstract #300159

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Activity Number: 172
Type: Invited
Date/Time: Tuesday, August 10, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #300159
Title: Ensuring Data Quality and Confidentiality for Tabular Data
Author(s): Lawrence H. Cox*+
Companies: National Center for Health Statistics
Address: 3311 Toledo Rd. Room 3211, Hyattsville, MD, 20782,
Keywords: disclosure limitation ; controlled tabular adjustment ; mathematical programming
Abstract:

Controlled tabular adjustment, a new disclosure limitation method for tabular data, eliminates the need to suppress tabular data cells for confidentiality purposes. Instead, cell values representing statistical disclosure are replaced by safe values and typically small adjustments are made to some or all nondisclosure cells to rebalance the tabulations. This solves the confidentiality problem and provides a complete set of tabulations on which the analyst can perform the full range of analyses as would have been performed on the original tabulations had disclosure not been present. The critical issue, then, is: Is it possible to perform the adjustment so that adjusted data will produce comparable analytical outcomes? We present approaches to this problem based on mathematical programming.

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Revised March 2004